Target Re-identification Based on Target´s Appearance and Space Features

Target re-identification of cross-camera is a difficult problem in the field of multi-camera surveillance, which needs to be urgently solved. Traditional solutions are mainly depend on the characteristics of target appearance. But these methods easily have the problem of low reliability and easily lead to low matching rate, because of losing targets´ space information. In this paper, we will use targets´ appearance and space information to make multi-layer histogram to describe targets, and by comparing the corresponding histograms to achieve target re-identification. At last, Experiments of targets re-identification for different cameras show that the proposed method can achieve good results.