Human action recognition using star templates and delaunay triangulation

Chi Hung Chuang, Jun Wei Hsieh, Luo Wei Tsai, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

11 引文 斯高帕斯(Scopus)

摘要

This paper presents a human action recognition system for recognizing various behaviors directly from videos. Firstly, we triangulate the human body to different triangle meshes. Then, we use a depth-first search (dfs) scheme to find a spanning tree from the set of meshes. All leafs of the spanning tree are adopted as the extremities. Different from traditional approaches to find the extremities on the target's silhouette as skeletons, the extremities found from the internal centroids of triangle meshes can represent a human posture more accurately and robustly. To model each human action, all the input skeleton sequences are then transformed into symbol sequences. Then, we design a string matching scheme to measure the similarity between any two human behaviors. Since 2D postures are used in this paper, the above scheme is sensitive to different view points. To solve the view independent problem, a 2D matrix is then constructed for recording the symbol relations between two viewpoints. Thus, our proposed matching scheme is almost view-invariant. Experimental results show that the proposed scheme is a robust, efficient, and promising tool in human action recognition.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
頁面179-182
頁數4
DOIs
出版狀態已出版 - 2008
事件2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
持續時間: 15 8月 200817 8月 2008

出版系列

名字Proceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

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???event.eventtypes.event.conference???2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
國家/地區China
城市Harbin
期間15/08/0817/08/08

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