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Clothing attributes, of which color plays an important role, are receiving more and more interests in machine vision researches and applications because of their uses and effectiveness in tasks like pedestrian analysis. However, color description is a challenging problem due to complex environments such as illumination variations. Most prior works describe color attributes using only low-level features...
Clothing is one of the most informative cues of human appearance. In this paper, we propose a novel multi-person clothing segmentation algorithm for highly occluded images. The key idea is combining blocking models to address the person-wise occlusions. In contrary to the traditional layered model that tries to solve the full layer ranking problem, the proposed blocking model partitions the problem...
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