Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
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24,602 | Enforcing Label and Intensity Consistency for IR Target Detection | cs.CV | This study formulates the IR target detection as a binary classification
problem of each pixel. Each pixel is associated with a label which indicates
whether it is a target or background pixel. The optimal label set for all the
pixels of an image maximizes aposteriori distribution of label configuration
given the pixel... | computer science |
24,603 | Quantum Edge Detection for Image Segmentation in Optical Environments | cs.CV | A quantum edge detector for image segmentation in optical environments is
presented in this work. A Boolean version of the same detector is presented
too. The quantum version of the new edge detector works with computational
basis states, exclusively. This way, we can easily avoid the problem of quantum
measurement ret... | computer science |
24,604 | One-Dimensional Vector based Pattern Matching | cs.CV | Template matching is a basic method in image analysis to extract useful
information from images. In this paper, we suggest a new method for pattern
matching. Our method transform the template image from two dimensional image
into one dimensional vector. Also all sub-windows (same size of template) in
the reference imag... | computer science |
24,605 | DeepID-Net: multi-stage and deformable deep convolutional neural
networks for object detection | cs.CV | In this paper, we propose multi-stage and deformable deep convolutional
neural networks for object detection. This new deep learning object detection
diagram has innovations in multiple aspects. In the proposed new deep
architecture, a new deformation constrained pooling (def-pooling) layer models
the deformation of ob... | computer science |
24,606 | Structure Preserving Large Imagery Reconstruction | cs.CV | With the explosive growth of web-based cameras and mobile devices, billions
of photographs are uploaded to the internet. We can trivially collect a huge
number of photo streams for various goals, such as image clustering, 3D scene
reconstruction, and other big data applications. However, such tasks are not
easy due to ... | computer science |
24,607 | Concurrent Tracking of Inliers and Outliers | cs.CV | In object tracking, outlier is one of primary factors which degrade
performance of image-based tracking algorithms. In this respect, therefore,
most of the existing methods simply discard detected outliers and pay little or
no attention to employing them as an important source of information for motion
estimation. We c... | computer science |
24,608 | Self-taught Object Localization with Deep Networks | cs.CV | This paper introduces self-taught object localization, a novel approach that
leverages deep convolutional networks trained for whole-image recognition to
localize objects in images without additional human supervision, i.e., without
using any ground-truth bounding boxes for training. The key idea is to analyze
the chan... | computer science |
24,609 | Mining Mid-level Features for Action Recognition Based on Effective
Skeleton Representation | cs.CV | Recently, mid-level features have shown promising performance in computer
vision. Mid-level features learned by incorporating class-level information are
potentially more discriminative than traditional low-level local features. In
this paper, an effective method is proposed to extract mid-level features from
Kinect sk... | computer science |
24,610 | A New Framework for Retinex based Color Image Enhancement using Particle
Swarm Optimization | cs.CV | A new approach for tuning the parameters of MultiScale Retinex (MSR) based
color image enhancement algorithm using a popular optimization method, namely,
Particle Swarm Optimization (PSO) is presented in this paper. The image
enhancement using MSR scheme heavily depends on parameters such as Gaussian
surround space con... | computer science |
24,611 | Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects | cs.CV | We introduce a method based on the deflectometry principle for the
reconstruction of specular objects exhibiting significant size and geometric
complexity. A key feature of our approach is the deployment of an Automatic
Virtual Environment (CAVE) as pattern generator. To unfold the full power of
this extraordinary expe... | computer science |
24,612 | Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of
Pruning Classifiers | cs.CV | We propose a general and versatile framework that significantly speeds-up
graphical model optimization while maintaining an excellent solution accuracy.
The proposed approach relies on a multi-scale pruning scheme that is able to
progressively reduce the solution space by use of a novel strategy based on a
coarse-to-fi... | computer science |
24,613 | On the optimality of shape and data representation in the spectral
domain | cs.CV | A proof of the optimality of the eigenfunctions of the Laplace-Beltrami
operator (LBO) in representing smooth functions on surfaces is provided and
adapted to the field of applied shape and data analysis. It is based on the
Courant-Fischer min-max principle adapted to our case. % The theorem we present
supports the new... | computer science |
24,614 | Real-time Crowd Tracking using Parameter Optimized Mixture of Motion
Models | cs.CV | We present a novel, real-time algorithm to track the trajectory of each
pedestrian in moderately dense crowded scenes. Our formulation is based on an
adaptive particle-filtering scheme that uses a combination of various
multi-agent heterogeneous pedestrian simulation models. We automatically
compute the optimal paramet... | computer science |
24,615 | A Combined Method Of Fractal And GLCM Features For MRI And CT Scan
Images Classification | cs.CV | Fractal analysis has been shown to be useful in image processing for
characterizing shape and gray-scale complexity. The fractal feature is a
compact descriptor used to give a numerical measure of the degree of
irregularity of the medical images. This descriptor property does not give
ownership of the local image struc... | computer science |
24,616 | Going Deeper with Convolutions | cs.CV | We propose a deep convolutional neural network architecture codenamed
"Inception", which was responsible for setting the new state of the art for
classification and detection in the ImageNet Large-Scale Visual Recognition
Challenge 2014 (ILSVRC 2014). The main hallmark of this architecture is the
improved utilization o... | computer science |
24,617 | Adaptive Tag Selection for Image Annotation | cs.CV | Not all tags are relevant to an image, and the number of relevant tags is
image-dependent. Although many methods have been proposed for image
auto-annotation, the question of how to determine the number of tags to be
selected per image remains open. The main challenge is that for a large tag
vocabulary, there is often ... | computer science |
24,618 | A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and
Low-resolution | cs.CV | Heterogeneous face recognition (HFR) refers to matching face imagery across
different domains. It has received much interest from the research community as
a result of its profound implications in law enforcement. A wide variety of new
invariant features, cross-modality matching models and heterogeneous datasets
being ... | computer science |
24,619 | Fingerprint Classification Based on Depth Neural Network | cs.CV | Fingerprint classification is an effective technique for reducing the
candidate numbers of fingerprints in the stage of matching in automatic
fingerprint identification system (AFIS). In recent years, deep learning is an
emerging technology which has achieved great success in many fields, such as
image processing, natu... | computer science |
24,620 | Deep Regression for Face Alignment | cs.CV | In this paper, we present a deep regression approach for face alignment. The
deep architecture consists of a global layer and multi-stage local layers. We
apply the back-propagation algorithm with the dropout strategy to jointly
optimize the regression parameters. We show that the resulting deep regressor
gradually and... | computer science |
24,621 | Subspace Alignment For Domain Adaptation | cs.CV | In this paper, we introduce a new domain adaptation (DA) algorithm where the
source and target domains are represented by subspaces spanned by eigenvectors.
Our method seeks a domain invariant feature space by learning a mapping
function which aligns the source subspace with the target one. We show that the
solution of... | computer science |
24,622 | Visual Landmark Recognition from Internet Photo Collections: A
Large-Scale Evaluation | cs.CV | The task of a visual landmark recognition system is to identify photographed
buildings or objects in query photos and to provide the user with relevant
information on them. With their increasing coverage of the world's landmark
buildings and objects, Internet photo collections are now being used as a
source for buildin... | computer science |
24,623 | Deformable Part Models are Convolutional Neural Networks | cs.CV | Deformable part models (DPMs) and convolutional neural networks (CNNs) are
two widely used tools for visual recognition. They are typically viewed as
distinct approaches: DPMs are graphical models (Markov random fields), while
CNNs are "black-box" non-linear classifiers. In this paper, we show that a DPM
can be formula... | computer science |
24,624 | Hyperspectral and Multispectral Image Fusion based on a Sparse
Representation | cs.CV | This paper presents a variational based approach to fusing hyperspectral and
multispectral images. The fusion process is formulated as an inverse problem
whose solution is the target image assumed to live in a much lower dimensional
subspace. A sparse regularization term is carefully designed, relying on a
decompositio... | computer science |
24,625 | Active Dictionary Learning in Sparse Representation Based Classification | cs.CV | Sparse representation, which uses dictionary atoms to reconstruct input
vectors, has been studied intensively in recent years. A proper dictionary is a
key for the success of sparse representation. In this paper, an active
dictionary learning (ADL) method is introduced, in which classification error
and reconstruction ... | computer science |
24,626 | Fast Low-rank Representation based Spatial Pyramid Matching for Image
Classification | cs.CV | Spatial Pyramid Matching (SPM) and its variants have achieved a lot of
success in image classification. The main difference among them is their
encoding schemes. For example, ScSPM incorporates Sparse Code (SC) instead of
Vector Quantization (VQ) into the framework of SPM. Although the methods
achieve a higher recognit... | computer science |
24,627 | A Global Approach for Solving Edge-Matching Puzzles | cs.CV | We consider apictorial edge-matching puzzles, in which the goal is to arrange
a collection of puzzle pieces with colored edges so that the colors match along
the edges of adjacent pieces. We devise an algebraic representation for this
problem and provide conditions under which it exactly characterizes a puzzle.
Using t... | computer science |
24,628 | Temporally Coherent Bayesian Models for Entity Discovery in Videos by
Tracklet Clustering | cs.CV | A video can be represented as a sequence of tracklets, each spanning 10-20
frames, and associated with one entity (eg. a person). The task of \emph{Entity
Discovery} in videos can be naturally posed as tracklet clustering. We approach
this task by leveraging \emph{Temporal Coherence}(TC): the fundamental property
of vi... | computer science |
24,629 | 1-HKUST: Object Detection in ILSVRC 2014 | cs.CV | The Imagenet Large Scale Visual Recognition Challenge (ILSVRC) is the one of
the most important big data challenges to date. We participated in the object
detection track of ILSVRC 2014 and received the fourth place among the 38
teams. We introduce in our object detection system a number of novel techniques
in localiza... | computer science |
24,630 | Detecting People in Cubist Art | cs.CV | Although the human visual system is surprisingly robust to extreme distortion
when recognizing objects, most evaluations of computer object detection methods
focus only on robustness to natural form deformations such as people's pose
changes. To determine whether algorithms truly mirror the flexibility of human
vision,... | computer science |
24,631 | Visual Words for Automatic Lip-Reading | cs.CV | Lip reading is used to understand or interpret speech without hearing it, a
technique especially mastered by people with hearing difficulties. The ability
to lip read enables a person with a hearing impairment to communicate with
others and to engage in social activities, which otherwise would be difficult.
Recent adva... | computer science |
24,632 | A Concept Learning Approach to Multisensory Object Perception | cs.CV | This paper presents a computational model of concept learning using Bayesian
inference for a grammatically structured hypothesis space, and test the model
on multisensory (visual and haptics) recognition of 3D objects. The study is
performed on a set of artificially generated 3D objects known as fribbles,
which are com... | computer science |
24,633 | Histogram of Oriented Principal Components for Cross-View Action
Recognition | cs.CV | Existing techniques for 3D action recognition are sensitive to viewpoint
variations because they extract features from depth images which are viewpoint
dependent. In contrast, we directly process pointclouds for cross-view action
recognition from unknown and unseen views. We propose the Histogram of Oriented
Principal ... | computer science |
24,634 | Recent Progress in Image Deblurring | cs.CV | This paper comprehensively reviews the recent development of image
deblurring, including non-blind/blind, spatially invariant/variant deblurring
techniques. Indeed, these techniques share the same objective of inferring a
latent sharp image from one or several corresponding blurry images, while the
blind deblurring tec... | computer science |
24,635 | Do More Dropouts in Pool5 Feature Maps for Better Object Detection | cs.CV | Deep Convolutional Neural Networks (CNNs) have gained great success in image
classification and object detection. In these fields, the outputs of all layers
of CNNs are usually considered as a high dimensional feature vector extracted
from an input image and the correspondence between finer level feature vectors
and co... | computer science |
24,636 | Deep Learning Representation using Autoencoder for 3D Shape Retrieval | cs.CV | We study the problem of how to build a deep learning representation for 3D
shape. Deep learning has shown to be very effective in variety of visual
applications, such as image classification and object detection. However, it
has not been successfully applied to 3D shape recognition. This is because 3D
shape has complex... | computer science |
24,637 | Image Classification with A Deep Network Model based on Compressive
Sensing | cs.CV | To simplify the parameter of the deep learning network, a cascaded
compressive sensing model "CSNet" is implemented for image classification.
Firstly, we use cascaded compressive sensing network to learn feature from the
data. Secondly, CSNet generates the feature by binary hashing and block-wise
histograms. Finally, a... | computer science |
24,638 | A Deep Graph Embedding Network Model for Face Recognition | cs.CV | In this paper, we propose a new deep learning network "GENet", it combines
the multi-layer network architec- ture and graph embedding framework. Firstly,
we use simplest unsupervised learning PCA/LDA as first layer to generate the
low- level feature. Secondly, many cascaded dimensionality reduction layers
based on grap... | computer science |
24,639 | Extracting man-made objects from remote sensing images via fast level
set evolutions | cs.CV | Object extraction from remote sensing images has long been an intensive
research topic in the field of surveying and mapping. Most existing methods are
devoted to handling just one type of object and little attention has been paid
to improving the computational efficiency. In recent years, level set evolution
(LSE) has... | computer science |
24,640 | Location Recognition Over Large Time Lags | cs.CV | Would it be possible to automatically associate ancient pictures to modern
ones and create fancy cultural heritage city maps? We introduce here the task
of recognizing the location depicted in an old photo given modern annotated
images collected from the Internet. We present an extensive analysis on
different features,... | computer science |
24,641 | Multiple Object Tracking: A Literature Review | cs.CV | Multiple Object Tracking (MOT) is an important computer vision problem which
has gained increasing attention due to its academic and commercial potential.
Although different kinds of approaches have been proposed to tackle this
problem, it still remains challenging due to factors like abrupt appearance
changes and seve... | computer science |
24,642 | On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint
Recognition | cs.CV | Biometric-based identification has drawn a lot of attention in the recent
years. Among all biometrics, palmprint is known to possess a rich set of
features. In this paper we have proposed to use DCT-based features in parallel
with wavelet-based ones for palmprint identification. PCA is applied to the
features to reduce... | computer science |
24,643 | RENOIR - A Dataset for Real Low-Light Image Noise Reduction | cs.CV | Image denoising algorithms are evaluated using images corrupted by artificial
noise, which may lead to incorrect conclusions about their performances on real
noise. In this paper we introduce a dataset of color images corrupted by
natural noise due to low-light conditions, together with spatially and
intensity-aligned ... | computer science |
24,644 | Evaluation of Output Embeddings for Fine-Grained Image Classification | cs.CV | Image classification has advanced significantly in recent years with the
availability of large-scale image sets. However, fine-grained classification
remains a major challenge due to the annotation cost of large numbers of
fine-grained categories. This project shows that compelling classification
performance can be ach... | computer science |
24,645 | Coupling Top-down and Bottom-up Methods for 3D Human Pose and Shape
Estimation from Monocular Image Sequences | cs.CV | Until recently Intelligence, Surveillance, and Reconnaissance (ISR) focused
on acquiring behavioral information of the targets and their activities.
Continuous evolution of intelligence being gathered of the human centric
activities has put increased focus on the humans, especially inferring their
innate characteristic... | computer science |
24,646 | Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and
Photographic Imagery of Forests | cs.CV | There is much current interest in using multi-sensor airborne remote sensing
to monitor the structure and biodiversity of forests. This paper addresses the
application of non-parametric image registration techniques to precisely align
images obtained from multimodal imaging, which is critical for the successful
identif... | computer science |
24,647 | Pattern Encoding on the Poincare Sphere | cs.CV | This paper presents a convenient graphical tool for encoding visual patterns
(such as image patches and image atoms) as point constellations in a space
spanned by perceptual features and with a clear geometrical interpretation.
General theory and a practical pattern encoding scheme are presented, inspired
by encoding p... | computer science |
24,648 | Real Time Fabric Defect Detection System on an Embedded DSP Platform | cs.CV | In industrial fabric productions, automated real time systems are needed to
find out the minor defects. It will save the cost by not transporting defected
products and also would help in making compmay image of quality fabrics by
sending out only undefected products. A real time fabric defect detection
system (FDDS), i... | computer science |
24,649 | Recognition of Handwritten Bangla Basic Characters and Digits using
Convex Hull based Feature Set | cs.CV | In dealing with the problem of recognition of handwritten character patterns
of varying shapes and sizes, selection of a proper feature set is important to
achieve high recognition performance. The current research aims to evaluate the
performance of the convex hull based feature set, i.e. 125 features in all
computed ... | computer science |
24,650 | Multidimensional Digital Smoothing Filters for Target Detection | cs.CV | Recursive, causal and non-causal, multidimensional digital filters, with
infinite impulse responses and maximally flat magnitude and delay responses in
the low-frequency region, are designed to negate correlated clutter and
interference in the background and to accumulate power due to dim targets in
the foreground of a... | computer science |
24,651 | Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer
Depth Camera and Synthetic Data | cs.CV | Recent advances in consumer depth sensors have created many opportunities for
human body measurement and modeling. Estimation of 3D body shape is
particularly useful for fashion e-commerce applications such as virtual try-on
or fit personalization. In this paper, we propose a method for capturing
accurate human body sh... | computer science |
24,652 | A Framework for the Volumetric Integration of Depth Images | cs.CV | Volumetric models have become a popular representation for 3D scenes in
recent years. One of the breakthroughs leading to their popularity was
KinectFusion, where the focus is on 3D reconstruction using RGB-D sensors.
However, monocular SLAM has since also been tackled with very similar
approaches. Representing the rec... | computer science |
24,653 | A Model of Plant Identification System Using GLCM, Lacunarity And Shen
Features | cs.CV | Recently, many approaches have been introduced by several researchers to
identify plants. Now, applications of texture, shape, color and vein features
are common practices. However, there are many possibilities of methods can be
developed to improve the performance of such identification systems. Therefore,
several exp... | computer science |
24,654 | Learning Invariant Color Features for Person Re-Identification | cs.CV | Matching people across multiple camera views known as person
re-identification, is a challenging problem due to the change in visual
appearance caused by varying lighting conditions. The perceived color of the
subject appears to be different with respect to illumination. Previous works
use color as it is or address the... | computer science |
24,655 | Facial Feature Point Detection: A Comprehensive Survey | cs.CV | This paper presents a comprehensive survey of facial feature point detection
with the assistance of abundant manually labeled images. Facial feature point
detection favors many applications such as face recognition, animation,
tracking, hallucination, expression analysis and 3D face modeling. Existing
methods can be ca... | computer science |
24,656 | Hierarchical Sparse and Collaborative Low-Rank Representation for
Emotion Recognition | cs.CV | In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank
(C-HiSLR) model that is natural for recognizing human emotion in visual data.
Previous attempts require explicit expression components, which are often
unavailable and difficult to recover. Instead, our model exploits the lowrank
property over ex... | computer science |
24,657 | Deep Representations for Iris, Face, and Fingerprint Spoofing Detection | cs.CV | Biometrics systems have significantly improved person identification and
authentication, playing an important role in personal, national, and global
security. However, these systems might be deceived (or "spoofed") and, despite
the recent advances in spoofing detection, current solutions often rely on
domain knowledge,... | computer science |
24,658 | Face Detection Using Radial Basis Functions Neural Networks With Fixed
Spread | cs.CV | This paper presented a face detection system using Radial Basis Function
Neural Networks With Fixed Spread Value. Face detection is the first step in
face recognition system. The purpose is to localize and extract the face region
from the background that will be fed into the face recognition system for
identification. ... | computer science |
24,659 | Image Denoising using New Adaptive Based Median Filters | cs.CV | Noise is a major issue while transferring images through all kinds of
electronic communication. One of the most common noise in electronic
communication is an impulse noise which is caused by unstable voltage. In this
paper, the comparison of known image denoising techniques is discussed and a
new technique using the d... | computer science |
24,660 | An Aerial Image Recognition Framework using Discrimination and
Redundancy Quality Measure | cs.CV | Aerial image categorization plays an indispensable role in remote sensing and
artificial intelligence. In this paper, we propose a new aerial image
categorization framework, focusing on organizing the local patches of each
aerial image into multiple discriminative subgraphs. The subgraphs reflect both
the geometric pro... | computer science |
24,661 | Genetic Stereo Matching Algorithm with Fuzzy Fitness | cs.CV | This paper presents a genetic stereo matching algorithm with fuzzy evaluation
function. The proposed algorithm presents a new encoding scheme in which a
chromosome is represented by a disparity matrix. Evolution is controlled by a
fuzzy fitness function able to deal with noise and uncertain camera
measurements, and use... | computer science |
24,662 | Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet
marginals | cs.CV | This short memo aims at explaining our approach for the challenge IEEE-ISBI
on Bone Texture Characterization. In this work, we focus on the use of
covariance matrices and wavelet marginals in an SVM classifier. | computer science |
24,663 | Direct Processing of Document Images in Compressed Domain | cs.CV | With the rapid increase in the volume of Big data of this digital era, fax
documents, invoices, receipts, etc are traditionally subjected to compression
for the efficiency of data storage and transfer. However, in order to process
these documents, they need to undergo the stage of decompression which indents
additional... | computer science |
24,664 | Tree-Structure Bayesian Compressive Sensing for Video | cs.CV | A Bayesian compressive sensing framework is developed for video
reconstruction based on the color coded aperture compressive temporal imaging
(CACTI) system. By exploiting the three dimension (3D) tree structure of the
wavelet and Discrete Cosine Transformation (DCT) coefficients, a Bayesian
compressive sensing inversi... | computer science |
24,665 | Single Image Super Resolution via Manifold Approximation | cs.CV | Image super-resolution remains an important research topic to overcome the
limitations of physical acquisition systems, and to support the development of
high resolution displays. Previous example-based super-resolution approaches
mainly focus on analyzing the co-occurrence properties of low resolution and
high-resolut... | computer science |
24,666 | A graph Laplacian regularization for hyperspectral data unmixing | cs.CV | This paper introduces a graph Laplacian regularization in the hyperspectral
unmixing formulation. The proposed regularization relies upon the construction
of a graph representation of the hyperspectral image. Each node in the graph
represents a pixel's spectrum, and edges connect spectrally and spatially
similar pixels... | computer science |
24,667 | Efficient Image Categorization with Sparse Fisher Vector | cs.CV | In object recognition, Fisher vector (FV) representation is one of the
state-of-art image representations ways at the expense of dense, high
dimensional features and increased computation time. A simplification of FV is
attractive, so we propose Sparse Fisher vector (SFV). By incorporating locality
strategy, we can acc... | computer science |
24,668 | High Order Structure Descriptors for Scene Images | cs.CV | Structure information is ubiquitous in natural scene images and it plays an
important role in scene representation. In this paper, third order structure
statistics (TOSS) and fourth order structure statistics (FOSS) are exploited to
encode higher order structure information. Afterwards, based on the radial and
normal s... | computer science |
24,669 | Detection of Salient Regions in Crowded Scenes | cs.CV | The increasing number of cameras and a handful of human operators to monitor
the video inputs from hundreds of cameras leave the system ill equipped to
fulfil the task of detecting anomalies. Thus, there is a dire need to
automatically detect regions that require immediate attention for a more
effective and proactive s... | computer science |
24,670 | Shape and Color Object Tracking for Real-Time Robotic Navigation | cs.CV | This paper presents a real-time approach for single-colored ball detection
and tracking. The approach consists of two main phases. In a first offline
calibration phase, the intrinsic parameters of the camera and the radial
distortion are estimated, and a classification of colors is learned from a
sample image of colore... | computer science |
24,671 | Online interpretation of numeric sign language using 2-d skeletal model | cs.CV | Gesturing is one of the natural modes of human communication. Signs produced
by gestures can have a basic meaning coupled with additional information that
is layered over the basic meaning of the sign. Sign language is an important
example of communicative gestures that are highly structured and well accepted
across th... | computer science |
24,672 | A two-pass fuzzy-geno approach to pattern classification | cs.CV | The work presents an extension of the fuzzy approach to 2-D shape recognition
[1] through refinement of initial or coarse classification decisions under a
two pass approach. In this approach, an unknown pattern is classified by
refining possible classification decisions obtained through coarse
classification of the sam... | computer science |
24,673 | Online Tracking of Skin Colour Regions Against a Complex Background | cs.CV | Online tracking of human activity against a complex background is a
challenging task for many applications. In this paper, we have developed a
robust technique for localizing skin colour regions from unconstrained image
frames. A simple and fast segmentation algorithm is used to train a multiplayer
perceptron (MLP) for... | computer science |
24,674 | The HAWKwood Database | cs.CV | We present a database consisting of wood pile images, which can be used as a
benchmark to evaluate the performance of wood pile detection and surveying
algorithms. We distinguish six database cate- gories which can be used for
different types of algorithms. Images of real and synthetic scenes are
provided, which consis... | computer science |
24,675 | Improve CAPTCHA's Security Using Gaussian Blur Filter | cs.CV | Providing security for webservers against unwanted and automated
registrations has become a big concern. To prevent these kinds of false
registrations many websites use CAPTCHAs. Among all kinds of CAPTCHAs OCR-Based
or visual CAPTCHAs are very common. Actually visual CAPTCHA is an image
containing a sequence of charac... | computer science |
24,676 | A Gesture Recognition System for Detecting Behavioral Patterns of ADHD | cs.CV | We present an application of gesture recognition using an extension of
Dynamic Time Warping (DTW) to recognize behavioural patterns of Attention
Deficit Hyperactivity Disorder (ADHD). We propose an extension of DTW using
one-class classifiers in order to be able to encode the variability of a
gesture category, and thus... | computer science |
24,677 | Reconstructive Sparse Code Transfer for Contour Detection and Semantic
Labeling | cs.CV | We frame the task of predicting a semantic labeling as a sparse
reconstruction procedure that applies a target-specific learned transfer
function to a generic deep sparse code representation of an image. This
strategy partitions training into two distinct stages. First, in an
unsupervised manner, we learn a set of gene... | computer science |
24,678 | Learning visual biases from human imagination | cs.CV | Although the human visual system can recognize many concepts under
challenging conditions, it still has some biases. In this paper, we investigate
whether we can extract these biases and transfer them into a machine
recognition system. We introduce a novel method that, inspired by well-known
tools in human psychophysic... | computer science |
24,679 | Large Vocabulary Arabic Online Handwriting Recognition System | cs.CV | Arabic handwriting is a consonantal and cursive writing. The analysis of
Arabic script is further complicated due to obligatory dots/strokes that are
placed above or below most letters and usually written delayed in order. Due to
ambiguities and diversities of writing styles, recognition systems are
generally based on ... | computer science |
24,680 | Dense 3D Face Correspondence | cs.CV | We present an algorithm that automatically establishes dense correspondences
between a large number of 3D faces. Starting from automatically detected sparse
correspondences on the convex hull of 3D faces, the algorithm triangulates
existing correspondences and expands them iteratively along the triangle edges.
New corr... | computer science |
24,681 | Supervised mid-level features for word image representation | cs.CV | This paper addresses the problem of learning word image representations:
given the cropped image of a word, we are interested in finding a descriptive,
robust, and compact fixed-length representation. Machine learning techniques
can then be supplied with these representations to produce models useful for
word retrieval... | computer science |
24,682 | Remote sensing image classification exploiting multiple kernel learning | cs.CV | We propose a strategy for land use classification which exploits Multiple
Kernel Learning (MKL) to automatically determine a suitable combination of a
set of features without requiring any heuristic knowledge about the
classification task. We present a novel procedure that allows MKL to achieve
good performance in the ... | computer science |
24,683 | Learning to Rank Binary Codes | cs.CV | Binary codes have been widely used in vision problems as a compact feature
representation to achieve both space and time advantages. Various methods have
been proposed to learn data-dependent hash functions which map a feature vector
to a binary code. However, considerable data information is inevitably lost
during the... | computer science |
24,684 | Attentive monitoring of multiple video streams driven by a Bayesian
foraging strategy | cs.CV | In this paper we shall consider the problem of deploying attention to subsets
of the video streams for collating the most relevant data and information of
interest related to a given task. We formalize this monitoring problem as a
foraging problem. We propose a probabilistic framework to model observer's
attentive beha... | computer science |
24,685 | Compositional Structure Learning for Action Understanding | cs.CV | The focus of the action understanding literature has predominately been
classification, how- ever, there are many applications demanding richer action
understanding such as mobile robotics and video search, with solutions to
classification, localization and detection. In this paper, we propose a
compositional model tha... | computer science |
24,686 | Vehicle Detection and Tracking Techniques: A Concise Review | cs.CV | Vehicle detection and tracking applications play an important role for
civilian and military applications such as in highway traffic surveillance
control, management and urban traffic planning. Vehicle detection process on
road are used for vehicle tracking, counts, average speed of each individual
vehicle, traffic ana... | computer science |
24,687 | Salient Object Detection: A Discriminative Regional Feature Integration
Approach | cs.CV | Salient object detection has been attracting a lot of interest, and recently
various heuristic computational models have been designed. In this paper, we
formulate saliency map computation as a regression problem. Our method, which
is based on multi-level image segmentation, utilizes the supervised learning
approach to... | computer science |
24,688 | Motion Estimation via Robust Decomposition with Constrained Rank | cs.CV | In this work, we address the problem of outlier detection for robust motion
estimation by using modern sparse-low-rank decompositions, i.e., Robust
PCA-like methods, to impose global rank constraints. Robust decompositions have
shown to be good at splitting a corrupted matrix into an uncorrupted low-rank
matrix and a s... | computer science |
24,689 | Canonical Polyadic Decomposition with Auxiliary Information for Brain
Computer Interface | cs.CV | Physiological signals are often organized in the form of multiple dimensions
(e.g., channel, time, task, and 3D voxel), so it is better to preserve original
organization structure when processing. Unlike vector-based methods that
destroy data structure, Canonical Polyadic Decomposition (CPD) aims to process
physiologic... | computer science |
24,690 | Density-Based Region Search with Arbitrary Shape for Object Localization | cs.CV | Region search is widely used for object localization. Typically, the region
search methods project the score of a classifier into an image plane, and then
search the region with the maximal score. The recently proposed region search
methods, such as efficient subwindow search and efficient region search, %which
localiz... | computer science |
24,691 | Foreground-Background Segmentation Based on Codebook and Edge Detector | cs.CV | Background modeling techniques are used for moving object detection in video.
Many algorithms exist in the field of object detection with different purposes.
In this paper, we propose an improvement of moving object detection based on
codebook segmentation. We associate the original codebook algorithm with an
edge dete... | computer science |
24,692 | A Novel Visual Word Co-occurrence Model for Person Re-identification | cs.CV | Person re-identification aims to maintain the identity of an individual in
diverse locations through different non-overlapping camera views. The problem
is fundamentally challenging due to appearance variations resulting from
differing poses, illumination and configurations of camera views. To deal with
these difficult... | computer science |
24,693 | On The Effect of Hyperedge Weights On Hypergraph Learning | cs.CV | Hypergraph is a powerful representation in several computer vision, machine
learning and pattern recognition problems. In the last decade, many researchers
have been keen to develop different hypergraph models. In contrast, no much
attention has been paid to the design of hyperedge weights. However, many
studies on pai... | computer science |
24,694 | A Framework for On-Line Devanagari Handwritten Character Recognition | cs.CV | The main challenge in on-line handwritten character recognition in Indian
lan- guage is the large size of the character set, larger similarity between
different characters in the script and the huge variation in writing style. In
this paper we propose a framework for on-line handwitten script recognition
taking cues fr... | computer science |
24,695 | Directional Bilateral Filters | cs.CV | We propose a bilateral filter with a locally controlled domain kernel for
directional edge-preserving smoothing. Traditional bilateral filters use a
range kernel, which is responsible for edge preservation, and a fixed domain
kernel that performs smoothing. Our intuition is that orientation and
anisotropy of image stru... | computer science |
24,696 | Iris Biometric System using a hybrid approach | cs.CV | Iris Recognition Systems are ocular- based biometric devices used primarily
for security reasons. The complexity and the randomness of the Iris, amongst
various other factors, ensure that this biometric system is inarguably an exact
and reliable method of identification. The algorithm is responsible for
automatic local... | computer science |
24,697 | Visual Chunking: A List Prediction Framework for Region-Based Object
Detection | cs.CV | We consider detecting objects in an image by iteratively selecting from a set
of arbitrarily shaped candidate regions. Our generic approach, which we term
visual chunking, reasons about the locations of multiple object instances in an
image while expressively describing object boundaries. We design an
optimization crit... | computer science |
24,698 | Higher-order MRFs based image super resolution: why not MAP? | cs.CV | A trainable filter-based higher-order Markov Random Fields (MRFs) model - the
so called Fields of Experts (FoE), has proved a highly effective image prior
model for many classic image restoration problems. Generally, two options are
available to incorporate the learned FoE prior in the inference procedure: (1)
sampling... | computer science |
24,699 | Deep Structured learning for mass segmentation from Mammograms | cs.CV | In this paper, we present a novel method for the segmentation of breast
masses from mammograms exploring structured and deep learning. Specifically,
using structured support vector machine (SSVM), we formulate a model that
combines different types of potential functions, including one that classifies
image regions usin... | computer science |
24,700 | Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic
Sampling | cs.CV | Stochastic sampling based trackers have shown good performance for abrupt
motion tracking so that they have gained popularity in recent years. However,
conventional methods tend to use a two-stage sampling paradigm, in which the
search space needs to be uniformly explored with an inefficient preliminary
sampling phase.... | computer science |
24,701 | Robust Piecewise-Constant Smoothing: M-Smoother Revisited | cs.CV | A robust estimator, namely M-smoother, for piecewise-constant smoothing is
revisited in this paper. Starting from its generalized formulation, we propose
a numerical scheme/framework for solving it via a series of weighted-average
filtering (e.g., box filtering, Gaussian filtering, bilateral filtering, and
guided filte... | computer science |
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