Host: The Institute of Image Information and Television Engineers
Name : THE 2017 ITE ANNUAL CONVENTION
Location : [in Japanese]
Date : August 30, 2017 - September 01, 2017
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.