DocumentCode :
1286852
Title :
Human Behavior Analysis Based on a New Motion Descriptor
Author :
Huang, Kaiqi ; Wang, Shiquan ; Tan, Tieniu ; Maybank, Stephen J.
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Volume :
19
Issue :
12
fYear :
2009
Firstpage :
1830
Lastpage :
1840
Abstract :
Human behavior analysis is an important area of research in computer vision and is also driven by a wide spectrum of applications, such as smart video surveillance and human-computer interface. In this paper, we present a novel approach for human behavior analysis. Two research challenges, motion representation and behavior recognition, are addressed. A novel motion descriptor, which is an improved feature based on optical flow, is proposed for motion representation. Optical flow is improved with a motion filter, and feature fusion with the shape and trajectory information. To recognize the behavior, the support vector machine is employed to train the classifier where the concatenation of histograms is formed as the input features. Experimental results on the Weizmann behavior database and the Institute of Automation, Chinese Academy of Science real-world multiview behavior database demonstrate the robustness and effectiveness of our method.
Keywords :
behavioural sciences computing; computer vision; filtering theory; image classification; image fusion; image motion analysis; image representation; image sequences; support vector machines; Weizmann behavior database; behavior recognition; classifier training; computer vision; feature fusion; histogram concatenation; human behavior analysis; human-computer interface; motion descriptor; motion filter; motion representation; optical flow; smart video surveillance; support vector machine; Human behavior; motion analysis; optical flow; surveillance;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2009.2029024
Filename :
5191099
Link To Document :
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