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HMM based action recognition using oriented histograms of optical flow field

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1 Author(s)
Li, X. ; Dept. of Comput. Sci., Univ. of Tsukuba

A simple and effective motion descriptor based on oriented histograms of optical flow field sequence is proposed. After dimensional reduction by principal component analysis, it is applicable to human action recognition using the hidden Markov model (HMM). Experiments with convincing recognition rate demonstrate the discriminative power of the proposed descriptor

Published in:

Electronics Letters  (Volume:43 ,  Issue: 10 )