A New Method for Human Action Recognition Discrete HMM with Improved LBG Algorithm

被引：0
|
作者：
Qu, Zhongxin [1 ]
Lu, Tingshu [1 ]
Liu, Xiaojiong [1 ]
Wu, Qianqian [1 ]
Wang, Mingjing [1 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Key Lab IOT Terminal Pivotal Technol, Shenzhen, Peoples R China
来源：
2015 IEEE 9TH INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION (ASID) | 2015年
关键词：
codebook; vector quantitation; LBG; empty cavity split; simulated annealing; HMM; action recognition;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：109 / 113
页数：5
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