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This paper addresses the issue of 2D human upper-body pose estimation under cluttered environments using a discriminative structured framework. Most previous approaches focus on solving such a problem using generative models. However, a generative model has two drawbacks: a) not suitable for real-time application due to its slow inference algorithm and b) prone to over fitting given limited training...
In this paper, we propose a large margin framework to learn the local instance-to-class distance function using local patch-based feature vectors, which satisfies the property that distance from instance to its own class should be less than the distance to other class. This instance-to-class distance is modeled as the weighted combination of the distance from every patch in test image to its nearest...
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