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