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21 September 2001 Approach to extracting the human body framework from a color image
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001)
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Extracting human body framework from images is up to now an open and significant problem in general. We propose a systematic approach which strictly follows the fundamental assumption: only one front-viewed standing human body dressing clothes with long sleeves and long trousers can be extracted from an image in this paper. Three main steps devised in our approach to extract the human body framework are face detection, segmentation of clothes and trousers regions, and positioning all human body parts. The face detection was performed by means of face skin color extraction and face template matching. Based on the determined hue quantization and color texture features, a texture similarity measure was designed for the segmentation of clothes and trousers. In accordance with the entropy concept of information theory, the homogeneous and inhomogeneous information was derived from similarity measurements of a human body image. Then the useful images transformed respectively from the found homogeneous and inhomogeneous information were combined with the defined relationships of a human body framework to locate the trunk region, arm parts, the hip region and leg parts. Experiments have confirmed the feasibility of the proposed approach.
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Yung-Sheng Chen and Shu-Shu Chiu "Approach to extracting the human body framework from a color image", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001);


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