한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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- Pages.509-514
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- 2006
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- 1598-5164(pISSN)
다중 시점 영상 시퀀스를 이용한 강인한 행동 인식
Robust Action Recognition Using Multiple View Image Sequences
- Ahmad, Mohiuddin (Division of Computer and Communication Engineering, Korea University) ;
- Lee, Seong-Whan (Division of Computer and Communication Engineering, Korea University)
- 발행 : 2006.10.20
초록
Human action recognition is an active research area in computer vision. In this paper, we present a robust method for human action recognition by using combined information of human body shape and motion information with multiple views image sequence. The principal component analysis is used to extract the shape feature of human body and multiple block motion of the human body is used to extract the motion features of human. This combined information with multiple view sequences enhances the recognition of human action. We represent each action using a set of hidden Markov model and we model each action by multiple views. This characterizes the human action recognition from arbitrary view information. Several daily actions of elderly persons are modeled and tested by using this approach and they are correctly classified, which indicate the robustness of our method.
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