Recovering human body configurations: combining segmentation and recognition Export

@proceedings{cut:superpixel, abstract = {The goal of this work is to detect a human figure image and localize his joints and limbs along with their associated pixel masks. 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.}, author = {Mori, G. and Ren, Xiaofeng and Efros, A. A. and Malik, J.}, booktitle = {Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on}, citeulike-article-id = {3023750}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/CVPR.2004.1315182}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1315182}, doi = {10.1109/CVPR.2004.1315182}, journal = {Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on}, keywords = {graph, image}, pages = {II-326--II-333 Vol.2}, posted-at = {2008-07-21 09:23:32}, priority = {2}, title = {Recovering human body configurations: combining segmentation and recognition}, url = {http://dx.doi.org/10.1109/CVPR.2004.1315182}, volume = {2}, year = {2004} }

TY - CONF ID - cut:superpixel L3 - citeulike-article-id:3023750 N2 - The goal of this work is to detect a human figure image and localize his joints and limbs along with their associated pixel masks. 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. JF - Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on EP - II-333 Vol.2 TI - Recovering human body configurations: combining segmentation and recognition VL - 2 T2 - Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on SP - II-326 KW - graph KW - image AU - Mori, G AU - Ren, Xiaofeng AU - Efros, AA AU - Malik, J PY - 2004/// UR - http://dx.doi.org/10.1109/CVPR.2004.1315182 ER -