DocumentCode :
3178657
Title :
Human behavior understanding for video surveillance: Recent advance
Author :
Xu, Xin ; Tang, J. ; Liu, Xiaoming ; Zhang, Xiaolong
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
3867
Lastpage :
3873
Abstract :
With the wide applications of video cameras in surveillance, video analysis technologies have attracted the attention from the researchers in computer vision field. In video analysis, human behavior recognition and understanding is an important research direction. By recognition and understanding the human behaviors, we can predict and recognize the happening of crimes and help to the police or other agencies to react immediately. In the past, large amount of intensive papers have been published on human behavior understanding in videos. Generally speaking, the procedure of human behavior understanding can be divided into the following stages: human segmentation and tracking, and human behavior recognition. In this paper, we provide a comprehensive survey of the recent development of all these stages. We will also discuss the difficulties in behavior understanding and identify possible future directions.
Keywords :
image recognition; image segmentation; video signal processing; video surveillance; computer vision field; human behavior recognition; human behavior understanding; human segmentation stage; human tracking stage; video analysis technology; video surveillance; Adaptation model; Bayesian methods; Hidden Markov models; Humans; Pixel; Surveillance; behavior understanding; graphical model; human segmentation; human tracking; video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641773
Filename :
5641773
Link To Document :
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