Anomalous Running Motion Recognition Dataset
#Behavior recognition #anomaly detection #Security monitoring #public safety #event detection
- 500 records
- 1.4G
- MP4/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
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 |
Frequently Asked Questions
- What is the Anomalous Running Actions Recognition Dataset?
- The Anomalous Running Actions Recognition Dataset is a video dataset used to detect anomalous running and fleeing actions, aimed at enhancing the intelligence of security monitoring systems.
- What applications can this dataset be used for?
- The dataset can be used in the security sector for intelligent monitoring systems to automatically identify and alert on anomalous running or fleeing behaviors.
- What is the importance of the Anomalous Running Actions Recognition Dataset?
- The importance of this dataset lies in its ability to help enhance the automation and intelligence of security systems, thereby increasing monitoring efficiency and accuracy.
- How can this dataset be used to improve the performance of security monitoring systems?
- By training intelligent models to recognize anomalous running and fleeing actions, real-time monitoring and alerting can be achieved, enhancing the performance of security monitoring systems.
- What are the technical challenges of using the Anomalous Running Actions Recognition Dataset?
- The technical challenges include the complexity of algorithms needed for high-precision action recognition and the ability to handle unstable or noisy video data.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Anomalous Running Motion Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/fb9969b255e4241e7a29915ad19e79d5},
urldate={2025-09-15},
keywords={anomalous running, motion detection, security monitoring, behavior recognition, safety events},
version={1.0}
}Using this in research? Please cite us.
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