Template-based Human Motion Recognition for Complex Activities

被引：2
|
作者：
Ahad, Md. Atiqur Rahman [1 ]
Ogata, T. [1 ]
Tan, J. K. [1 ]
Kim, H. S. [1 ]
Ishikawa, S. [1 ]
机构：
[1] Kyushu Inst Technol, Dept Control Engn, Fukuoka, Japan
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年
关键词：
motion recognition; MHI; DMHI; Hu moment; feature vector;
D O I：
10.1109/ICSMC.2008.4811355
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We have presented motion history-based human motion recognition technique with various formats of feature vectors. Since the inception of the motion history image (MHI) template for motion recognition, various progresses have been adopted to improve this basic MHI. Stages of development of appearance-based representation and recognition approach are presented here on the basic motion history-based approach to solve self-occlusion problem using our method. Excellent recognition rate for various motions has been found. This is based on gradient-based optical flow calculation. For recognition, Hu moments are considered to calculate feature vectors. Various feature vectors are considered in this paper.
引用
收藏
页码：673 / +
页数：2
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