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Learning to recognize pedestrian attributes at far distance is a challenging problem in visual surveillance since face and body close-shots are hardly available; instead, only far-view image frames of pedestrian are given.
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An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
Y. Boykov and V. Kolmogorov · 2004
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Pedestrian parsing via deep decompositional network
P. Luo, X. Wang, and X. Tang · 2013
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W.-S. Zheng, S. Gong, and T. Xiang · 2013
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Pedestrian attribute classification in surveillance: Database and evaluation
J. Zhu, S. Liao, Z. Lei, D. Yi, and S. Z. Li · 2013
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Video synopsis by heterogeneous multi-source correlation
X. Zhu, C. C. Loy, and S. Gong · 2013
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Pedestrian attribute recognition at far distance
Y. Deng, P. Luo, C. C. Loy, and X. Tang · 2014
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Semi-supervised coupled dictionary learning for person re-identification
X. Liu, M. Song, D. Tao, X. Zhou, C. Chen, and J. Bu · 2014
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