Irregular behavior recognition based on two types of treading tracks under particular scenes

Authors:
Ye Zhang;Xiao-Jun Zhang;Zhi-Jing Liu
Affiliations:
Xidian University, Computer Science and Technology, Xi'an, China;Xidian University, Computer Science and Technology, Xi'an, China;Xidian University, Computer Science and Technology, Xi'an, China
Venue:
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Year:
2007

Citing 4
Cited 1

Special Section on Video Surveillance

IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities

IEEE Transactions on Pattern Analysis and Machine Intelligence
Moving Target Classification and Tracking from Real-time Video

WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Model-Based Human Body Motion Analysis for MPEG IV Video Encoder

ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing

A probabilistic risk analysis for multimodal entry control

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Visual analysis of human motion from video sequences is one of the most active research topics in the field of computer vision. This research has certain practical value and can be widely applied in some places such as: bank, hotel, garage, government department, large public facility. In this paper we present a novel method for judging irregular behavior based on treading track. Firstly, we use an object detection method in which the background subtraction method and the time difference method are averaged by weights to detect moving body, and then we judge whether someone is suspicious or not on the basis of treading track, it improves the judgment ability of irregular behavior recognition and experiment results have shown that this method gives static performances and good robustness.