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Informatika i Ee Primeneniya [Informatics and its Applications], 2010, Volume 4, Issue 1, Pages 74–78
(Mi ia20)
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An algorithmfor clothes-based human recognition in video
V. S. Konushina, G. R. Krivovyazb, A. S. Konushinb a M. V. Keldysh Institute for Applied Mathematics, Russian Academy of Sciences
b M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Abstract:
The new algorithm for clothes-based human recognition in video is presented. The algorithm is based on random patches classification with a random forest. The main advantage of the algorithm is the fact that it does not rely on human mask; therefore, it is able to work with video with arbitrary complex background. Experimental results are reported for a test set, which was acquired using authors' video surveillance system.
Keywords:
video-based human recognition; machine learning; random forest; background subtraction.
Citation:
V. S. Konushin, G. R. Krivovyaz, A. S. Konushin, “An algorithmfor clothes-based human recognition in video”, Inform. Primen., 4:1 (2010), 74–78
Linking options:
https://www.mathnet.ru/eng/ia20 https://www.mathnet.ru/eng/ia/v4/i1/p74
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