DocumentCode :
3307419
Title :
Detecting Gathering Incident of Video Surveillance Based on Plane Geometry
Author :
Cai, Zhaoquan ; Huang, Han ; Wu, Wenzhong ; Ma, Xianheng ; Hu, Xiuhong
Author_Institution :
Network Center, Huizhou Univ., Guangzhou, China
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
323
Lastpage :
325
Abstract :
Gathering is an important incident of video surveillance, possibly reflecting the properties of mass disturbances. However, the incident is more difficult to detect than single-object incidents since it always has multiple detected objects. This paper proposes a plane geometry model to describe the position, trajectory and outline of the detected objects. Gathering incident is checked by a circle in which there are multiple objects. A brief detection algorithm is designed to draw a circle and check whether gathering happens. Finally, several public surveillance videos are tested, and the results indicate the proposed model is efficient, high-detection-rate and robust.
Keywords :
Detection algorithms; Geometry; Humans; Image sequences; Layout; Object detection; Solid modeling; Testing; Tracking; Video surveillance; Computer vision; automatic detection; gathering incident; human behavior understanding; video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
Type :
conf
DOI :
10.1109/MVHI.2010.170
Filename :
5532713
Link To Document :
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