Title :
Irregular behavior recognition based on treading track
Author :
Zhang, Ye ; Liu, Zhi-Jing
Author_Institution :
Xidian Univ., Xidian
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^ prison > courtroom, large public facility > large storehouse and military base .In this paper we present a novel method for judging irregular behavior based on treading track. First we use the background subtraction method to detect moving body, and then we judge whether someone is suspicious or not on the basis of treading track. The experimental result has shown the method present in this paper having the superiority of simple algorithm, fast recognition speed and high accuracy rate. Meanwhile, this method has certain robustness.
Keywords :
computer vision; image motion analysis; image recognition; image sequences; object detection; video signal processing; background subtraction method; computer vision; human motion; irregular behavior recognition; moving body detect; treading track; video sequences; visual analysis; Humans; Image analysis; Image sequence analysis; Motion analysis; Motion detection; Object detection; Pattern analysis; Pattern recognition; Tracking; Video sequences; Irregular behavior recognition; background subtraction method; closed curve method; spiral line method;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4421639