Title :
Vehicle Abnormal Behavior Detection System Based on Video
Author :
Sang Hai-Feng ; Wang Hui ; Wu Dan-Yang
Author_Institution :
Inf. Sci. & Eng. Sch., Shenyang Univ. of Technol., Shenyang, China
Abstract :
With reference to the common vehicle abnormal behaviors, the article presents a video-based vehicle abnormal behavior detection system. on the basis of background subtraction methods to detect vehicles, the vehicle tracking and abnormal behavior identification was realized by building up information chain of tracked vehicles. the system solves effectively the problems of traditional method, such as losing detection and wrong matching. the experiments showed that the system could not only detect vehicle abnormal behavior correctly, but also calculate the traffic flow and count the number of vehicles which broke traffic rules accurately.
Keywords :
image segmentation; object detection; object tracking; road traffic; road vehicles; traffic engineering computing; video signal processing; abnormal behavior identification; background subtraction methods; losing detection; vehicle detection; vehicle tracking; video-based vehicle abnormal behavior detection system; wrong matching; Computer vision; Feature extraction; Real-time systems; Reliability; Solid modeling; Vehicle detection; Vehicles; abnormal behavior identification; traffic flow; vehicle detection; vehicle tracking;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.41