Mobiusi/Anomalous-Running-Motion-Recognition-Dataset

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

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

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com