Title :
Method for video incident detection based on biological visual Mechanism
Author :
Wang, Huibin ; Lu, Qiuli ; Wang, Xin ; Lv, Guofang ; Xu, Lizhong
Author_Institution :
Coll. of Comput. & Inf. Eng., Hohai Univ., Nangjing, China
Abstract :
Event detection is an important research in video surveillance technology. This paper proposed a method for traffic event detection based on visual Mechanism on the background of traffic video surveillance applications. In this method, based on the extraction of video target motion characteristics, it extracted abnormal targets mainly through the features merging and significant competitive in video frames. Then it judged the events of abnormal targets. Finally, the simulation results of the method show that the method can effectively simplify the calculation of event detection.
Keywords :
feature extraction; image motion analysis; object detection; traffic engineering computing; video surveillance; biological visual mechanism; feature extraction; feature merging; traffic event detection; traffic video surveillance technology; video frame; video incident detection; video target motion characteristics; Feature extraction; Image color analysis; Roads; Target tracking; Vehicles; Visualization; Event detection; Object extraction; Video surveillance; Visual attention;
Conference_Titel :
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location :
Hong Kong and Macau
Print_ISBN :
978-1-4244-8375-4
Electronic_ISBN :
978-1-4244-8374-7
DOI :
10.1109/ICAL.2010.5585393
