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Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE)

文献类型：会议论文

作者Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X.; Zhang J.
出版日期2011
会议名称International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011
会议地点Suzhou, China
关键词Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.
页码8P-8P
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33571]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714		 Zhang X.,Zhang J.,Zhang J.,et al. Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE)[C]. 见:International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011. Suzhou, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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