標題: 3-D human posture recognition system using 2-D shape features
作者: Hu, Jwu-Sheng
Su, Tzung-Min
Lin, Pei-Ching
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2007
摘要: This paper presents an integrated framework for recognizing 3D human posture from 2D images. A flexible combinational algorithm motivated by the novel view expressed by Cyr and Kimia [1] is proposed to generate the aspects of 3D human postures as the posture prototype using features extracted from the collected 2D images sampled at random intervals from the viewing sphere. Frequency and phase information of the posture are calculated from the Fourier descriptors (FDs) of the sampled points on the posture contour as the main and assistant features to extract the characteristic views as the aspects. Moreover, a modified particle filter is applied to improve the robustness of human posture recognition for continuous monitoring. Experimental trials on synthetic and real sequences have shown the effectiveness of the proposed method.
URI: http://hdl.handle.net/11536/6445
http://dx.doi.org/10.1109/ROBOT.2007.364082
ISBN: 978-1-4244-0601-2
ISSN: 1050-4729
DOI: 10.1109/ROBOT.2007.364082
期刊: PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10
起始頁: 3933
結束頁: 3938
Appears in Collections:Conferences Paper


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