Color distinctiveness feature for person identification without face information

摘要

This paper describes a novel descriptor Color Distinctiveness Feature (CDF). The CDF is calculated based on Bayes rule using colors in two areas: a main area and a support area. We identify persons in the images captured with a Bird's-eye views system by using the CDF. The identification is carried out by estimating Bhattacharyya distance or Hamming distance between the registered CDF and the one obtained from the input images. We confirmed that our method can identify persons at video-rate by only using the color information of shoulders and heads, and without using any face-related information. We also confirmed that CDF can be used to identify multicolored objects.