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
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;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5641773