Unsupervised Person Re-identification Using Partial Correlation Coefficient

Abstract

Most of the latest supervised methods of person re-identification (PRID) cannot be used for the situations in which the sufficient amount of training data is not available. In this study, we propose a completely unsupervised method of PRID using partial correlation coefficient, and verify its effectiveness by some experiments.