Recovering human body configurations: Combining segmentation and recognition

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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

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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