Browsing by Author "Lin, Pei-Ching"

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3-D human posture recognition system using 2-D shape features
(2007)
Hu, Jwu-Sheng
;
Su, Tzung-Min
;
Lin, Pei-Ching
;
電控工程研究所
;
Institute of Electrical and Control Engineering
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.
Vision-based indoor scene cognition using a spatial probabilistic modeling method
(2006)
Hu, Jwu-Sheng
;
Su, Tzung-Min
;
Huang, Heng-Chia
;
Lin, Pei-Ching
;
電控工程研究所
This work describes a vision-based approach to recognize scene in the indoor environment. The proposed method represents each scene captured by a Pan-Tilt-Zoom (PTZ) camera with a blob model using spatial probabilistic modeling. Although the details of the scene covered by the camera are lost, this model is efficient in memorizing the scene characteristics and is robust against image distortions. Furthermore, multi-view recognition is studied to increase the precision of scene cognition via a partial knowledge of the scene. The images captured in the same location with different view angles are collected to extract the scene characteristics in order to decrease the memory storage size for each location. The effectiveness of the method is demonstrated by experiments in an unstructured indoor environment.