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Person re-identification is a challenging problem in multicamera surveillance system. Existing methods always make use of metric learning to model the appearance variations of pedestrians between different cameras. However, these methods ignore the complexity of appearance variations in PRID and the learned models are liable to be over-fitted. In this paper, we propose large margin nearest neighbor...
Person re-identification is a challenging problem in computer vision due to large variations of appearance among different cameras. Recently, metric learning is widely used to model the transformation between cameras. However, traditional metric learning based methods only learn one metric for the whole feature space, which cannot model different kinds of appearance variations well. In this paper,...
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