Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Nonoverlapping Cameras

Abstract

This paper proposes a novel unsupervised algorithm learning discriminative features in the context of matching road vehicles between two nonoverlapping cameras. The matching problem is formulated as a same-different classification problem; which aims to compute the probability of vehicle images from two distinct cameras being from the same vehicle or… (More)
DOI: 10.1109/TPAMI.2007.70728

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