Boosting Fisher vector based scoring functions for person re-identification

Abstract

In recent years, much effort has been put into the development of novel algorithms to solve the person re-identification problem. The goal is to match a given person’s image against a gallery of people. In this paper, we propose a single-shot supervised method to compute a scoring function that, when applied to a pair of images, provides a score expressing… (More)
DOI: 10.1016/j.imavis.2015.09.008

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