Title :
HMM based action recognition using oriented histograms of optical flow field
Author_Institution :
Dept. of Comput. Sci., Univ. of Tsukuba
Abstract :
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
Keywords :
hidden Markov models; image sequences; motion estimation; principal component analysis; HMM; dimensional reduction; hidden Markov model; human action recognition; motion descriptor; optical flow field; oriented histograms; principal component analysis;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20070027
