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  2013, Vol. 26 Issue (8): 722-218    DOI:
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Behavior Recognition Algorithm Based on Depth Information and RGB Image
SHEN Xiao-Xia1, 2, ZHANG Hua1, 2, GAO Zan1, 2, XU Guang-Ping1, 2, XUE Yan-Bing1, 2, ZHANG Zhe3
1.Key Laboratory of Computer Vision and System of Ministry of Education, Tianjin University of Technology, Tianjin 300384
2.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384
3.Microsoft, One Microsoft Way, Redmond, WA 98052 USA

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Abstract  

Human behavior recognition is a hot issue in computer vision. However, most of the existing algorithms only use RGB or depth video sequence, and few of them are combined for behavior recognition. Due to their own advantages and complementary information, the characteristics of depth images and RGB images are studied, and two kinds of robust descriptors and some fusion schemes for them are proposed in this paper. Then, the support vector machine classifiers with different kernels are adopted. Results of extensive experiments on the challenging DHA dataset show that the accuracies of the proposed descriptors are higher than those of the state-of-the-art algorithms. Meanwhile, the performance of the algorithm with the combination of depth information and RGB is improved, and it is better than that of the algorithm with sole descriptor. Moreover, the proposed descriptors have strong robustness, discriminability and stability.

Key wordsBehavior Recognition      Depth Information      RGB Image      Support Vector Machine     
Received: 08 November 2013     
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SHEN Xiao-Xia
ZHANG Hua
GAO Zan
XU Guang-Ping
XUE Yan-Bing
ZHANG Zhe
Cite this article:   
SHEN Xiao-Xia,ZHANG Hua,GAO Zan等. Behavior Recognition Algorithm Based on Depth Information and RGB Image[J]. , 2013, 26(8): 722-218.
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