Human action recognition based on layered-HMM

Yen Chieh Wu*, Hsuan Sheng Chen, W. J. Tsai, Suh Yin Lee, Jen Yu Yu

*此作品的通信作者

研究成果: Conference contribution同行評審

11 引文 斯高帕斯(Scopus)

摘要

We address the problem of human action understanding of the upper human body from video sequences. Timesequential images expressing human actions are transformed to sequences of feature vectors containing the configuration of the human body. A human is modeled as a collection of body parts, linked in a kinematic structure. The relation of the joints is used to estimate the human pose. A proposed layered HMM framework decomposes the human action recognition problem into two layers. The first layer models the actions of two arms individually from low-level features. The second layer models the interrelationship of two arms as an action. Experiments with a set of six types of human actions demonstrate the effectiveness of our proposed scheme, and the comparisons with other HMM systems show the robustness.

原文English
主出版物標題2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
頁面1453-1456
頁數4
DOIs
出版狀態Published - 2008
事件2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Hannover, Germany
持續時間: 23 6月 200826 6月 2008

出版系列

名字2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Conference

Conference2008 IEEE International Conference on Multimedia and Expo, ICME 2008
國家/地區Germany
城市Hannover
期間23/06/0826/06/08

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