---
tags:
- Behavior recognition
- anomaly detection
- Security monitoring
- public safety
- event detection
license: cc-by-nc-sa-4.0
task_categories:
- video-classification
language:
- en
pretty_name: Anomalous Running Motion Recognition Dataset
size_categories:
- 1B<n<10B
---

# Anomalous Running Motion Recognition Dataset

In the current security industry, sudden fast running and fleeing behaviors are often related to theft and other emergencies. However, the existing video surveillance systems generally lack the ability to detect such behaviors, making it difficult to respond and handle them effectively. This dataset aims to improve the accuracy and response speed of detection algorithms by providing a large number of anomalous running motion video samples. Data collection was done using high-resolution cameras and recorded in various public places to ensure video quality and diversity. Additionally, for the video annotation process, we implemented multiple rounds of annotation and consistency checks to ensure annotation accuracy. All data is stored in MP4 format and organized by video ID for easy subsequent analysis and model training.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |

## Compliance Statement

<table>
  <tr>
    <td>Authorization Type</td>
    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
  </tr>
  <tr>
    <td>Commercial Use</td>
    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
  </tr>
  <tr>
    <td>Privacy and Anonymization</td>
    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
  </tr>
  <tr>
    <td>Compliance System</td>
    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
  </tr>
</table>

## Source & Contact

If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/fb9969b255e4241e7a29915ad19e79d5?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com