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Contour graph based human tracking and action sequence recognition
Xiang, Shiming ; Nie, Feiping ; Song, Yangqiu ; Zhang, Changshui
2010-05-06 ; 2010-05-06
关键词contour tracking sequence recognition sequence Monte Carlo estimation contour graph diving action HUMAN MOTION IDENTIFICATION CONDENSATION MODELS SPACE GAIT Computer Science, Artificial Intelligence Engineering, Electrical & Electronic
中文摘要This paper introduces a new framework for human contour tracking and action sequence recognition. Given a gallery of labeled human contour sequences, we define each contour as a "word" and encode all of them into a contour dictionary. This dictionary will be used to translate the video. To this end, a contour graph is constructed by connecting all the neighboring contours. Then, the motion in a video is viewed as an instance of random walks on this graph. As a result, we can avoid explicitly parameterizing the contour curves and modeling the dynamical system for contour updating. In such a work setting, there are only a few state variables to be estimated when using sequence Monte Carlo (SMC) approach to realize the random walks. In addition, the walks on the graph also perform sequence comparisons implicitly with those in the predefined gallery, from which statistics about class label is evaluated for action recognition. Experiments on diving tracking and recognition illustrate the validity of our method. (C) 2008 Elsevier Ltd. All rights reserved.
语种英语 ; 英语
出版者PERGAMON-ELSEVIER SCIENCE LTD ; OXFORD ; THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/9220]  
专题清华大学
推荐引用方式
GB/T 7714
Xiang, Shiming,Nie, Feiping,Song, Yangqiu,et al. Contour graph based human tracking and action sequence recognition[J],2010, 2010.
APA Xiang, Shiming,Nie, Feiping,Song, Yangqiu,&Zhang, Changshui.(2010).Contour graph based human tracking and action sequence recognition..
MLA Xiang, Shiming,et al."Contour graph based human tracking and action sequence recognition".(2010).
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