A new method for human action recognition: Discrete HMM with improved LBG algorithm

Hidden Markov Model (HMM) algorithm and Vector Quantization (VQ) algorithm are widely used in the field of speech recognition. The innovation of this paper will be the introduction of the above two algorithms into human action recognition and making them as a solution to recognize action of the cont...

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Published in2015 IEEE 9th International Conference on Anti-counterfeiting, Security, and Identification (ASID) pp. 109 - 113
Main Authors Zhongxin Qu, Tingshu Lu, Xiaojiong Liu, Qianqian Wu, Mingjiang Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2015
Subjects
action recognition
codebook
empty cavity split
HMM
LBG
simulated annealing
vector quantitation
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Summary:Hidden Markov Model (HMM) algorithm and Vector Quantization (VQ) algorithm are widely used in the field of speech recognition. The innovation of this paper will be the introduction of the above two algorithms into human action recognition and making them as a solution to recognize action of the continuous multi frames video. Simulated Annealing algorithm and the empty cavity processing algorithm improve vector quantization algorithm and obtain the global optimal codebook. The recognition result of the new algorithm is much better than the original algorithm and traditional algorithms. The new method realizes the identification of abnormal behavior.
ISBN:1467371394
9781467371391
ISSN:2163-5056
DOI:10.1109/ICASID.2015.7405672