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Recovering human body configurations: Combining segmentation and recognition (2004)

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by Greg Mori , Xiaofeng Ren , Alexei A. Efros , Jitendra Malik
Venue:In CVPR
Citations:215 - 8 self
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BibTeX

@INPROCEEDINGS{Mori04recoveringhuman,
    author = {Greg Mori and Xiaofeng Ren and Alexei A. Efros and Jitendra Malik},
    title = {Recovering human body configurations: Combining segmentation and recognition},
    booktitle = {In CVPR},
    year = {2004},
    pages = {326--333}
}

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Abstract

localized joints and limbs. (c) Segmentation mask associated with human figure. The goal of this work is to take an image such as the one in Figure 1(a), detect a human figure, and localize his joints and limbs (b) along with their associated pixel masks (c). In this work we attempt to tackle this problem in a general setting. The dataset we use is a collection of sports news photographs of baseball players, varying dramatically in pose and clothing. The approach that we take is to use segmentation to guide our recognition algorithm to salient bits of the image. We use this segmentation approach to build limb and torso detectors, the outputs of which are assembled into human figures. We present quantitative results on torso localization, in addition to shortlisted full body configurations. 1.

Keyphrases

human figure    human body configuration    recognition algorithm    localized joint    torso localization    segmentation approach    present quantitative result    segmentation mask    torso detector    sport news photograph    general setting    baseball player    pixel mask    full body configuration   

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