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Informatika i Ee Primeneniya [Informatics and its Applications], 2010, Volume 4, Issue 1, Pages 74–78 (Mi ia20)  

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
References:
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.
Document Type: Article
Language: Russian
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
Citation in format AMSBIB
\Bibitem{KonKriKon10}
\by V.~S.~Konushin, G.~R.~Krivovyaz, A.~S.~Konushin
\paper An algorithmfor clothes-based human recognition in video
\jour Inform. Primen.
\yr 2010
\vol 4
\issue 1
\pages 74--78
\mathnet{http://mi.mathnet.ru/ia20}
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