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| Human Action Recognition Algorithm Based on Selective Ensemble Rotation Forest |
| TANG Chao1, WANG Wenjian2, LI Wei3 , LI Guobin1, CAO Feng2, ZHANG Miaohui4 |
1.Department of Computer Science and Technology, Hefei University, Hefei 230601
2.School of Computer and Information Technology, Shanxi University, Taiyuan 030006
3.College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361005
4.Energy Research Institute, Jiangxi Academy of Sciences, Nanchang 330096 |
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Abstract The representation of high dimensional human actions and the construction of accurate and stable human classification model are key issues in human action recognition. An efficient action recognition algorithm based on mixed features is proposed. Key joints of human body polar coordinates features based on appearance structure and motion features based on optical flow are fused into the proposed algorithm to capture motion information in video sequences and improve the recognition instantaneity. Meanwhile, the selective ensemble rotation forest model (SERF) based on frame is developed and the selection ensemble strategy is used to select the base classifier of rotation forest and increase differences among the classifiers. Experimental results show the better classification accuracy and robustness of the proposed model.
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Received: 18 April 2015
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| Fund:Supported by National Natural Science Foundation of China (No.41401521,61273291), Overseas Returnee Research Fund in Shanxi Province (No.2012-008), Shanxi Province Natural Science Foundation for Youths (No.2015021101), Open Project Foundation of Intelligent Information Processing Key Laboratory of Shanxi Province (No.2014001), Natural Science Research Project of Universities of Anhui Province (No.KJ2015A206), Scientific Research Fund Project of Talents of Hefei University (No.15RC07), Key Constructive Discipline Project of Hefei University (No.2014xk08), Training Object Project for Academic Leader of Hefei University (No.2014dtr08), High-Level Talent Funds of Xiamen University of Technology (No.YKJ14014R) |
About author:: (TANG Chao(Corresponding author)， born in 1977， Ph.D.， lecturer. His research interests include machine learning and computer vision.)
(WANG Wenjian， born in 1968， Ph.D.， professor. Her research interests include machine learning and computer intelligence.)
(LI Wei， born in 1979， Ph.D.， associate professor. His research interests include artificial intelligence， computer graphics and human computer interaction.)
(LI Guobin， born in 1981， master， experimentalist. His research interests include machine learning.)
(CAO Feng， born in 1980， Ph.D.， lecturer. His research interests include machine learning and data mining.)
(ZHANG Miaohui， born in 1987， Ph.D.， assistant resear-cher. His research interests include visual search and human action recognition.) |
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2016, Vol. 29 
