Torso Detection in Static Images
作者： Zhilan Hu , Xinggang Lin , Hong Yan
DOI: 10.1109/ICOSP.2006.345837
关键词:
摘要: The existence of different clothing and cluttering backgrounds is the main difficulty for accurate torso detection in still images. This paper presents a novel dominant colors based method to tackle this problem. First, image segmented into uniform areas. Then, are adaptively selected using color probability model. Finally, candidates can be extracted on colors. Experiment results show that proposed approach accurately extract location orientation most situations
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