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
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