DocumentCode
2895935
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
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
132
Lastpage
135
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.41
Filename
6406936
Link To Document