標題: | HUMAN ACTION RECOGNITION BASED ON LAYERED-HMM |
作者: | Wu, Yen-Chieh Chen, Hsuan-Sheng Tsai, Wen-Jiin Lee, Suh-Yin Yu, Jen-Yu 資訊工程學系 Department of Computer Science |
公開日期: | 2008 |
摘要: | We address the problem of human action understanding of the upper human body from video sequences. Time-sequential 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 arm 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. |
URI: | http://hdl.handle.net/11536/32042 |
ISBN: | 978-1-4244-2570-9 |
期刊: | 2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4 |
起始頁: | 1453 |
結束頁: | 1456 |
顯示於類別: | 會議論文 |