Recovering human body con .gurations:combining segmentation and recognition
Article 2004 en
Authors
GM
Giulio Mori
XR
Xiaofeng Ren
AE
Alexei A. Efros
Abstract
1 min read
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.
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