Description based person identification: use of clothes color and type

Abstract

Surveillance videos can be searched for person identification using soft-biometrics. The proposed paper use clothes color and their type for person identification in a video. A height model and the ISCC-NBS color descriptors are used for human localization and color classification. Experimental results are demonstrated on the custom video database and compared with Gaussian mixture model based search model. It is shown that the proposed approach identifies a person correctly with high accuracy and outperforms Gaussian mixture based search model. The paper also develops a new vocabulary to describe the clothing type for a human.