A Pedestrian Tracking Algorithm Based on Mean Shift Using Color Histogram Equalization Method

Abstract

This paper presents an improved pedestrian tracking algorithm with image sequences acquired by surveillance cameras. This pedestrian tracking algorithm is based on mean shift algorithm, and it uses color histogram equalization to improve the original algorithm. The improved algorithm performs much better than the original algorithm in some situations. We use the CAVIAR project/IST 2001 37540 dataset to evaluate the algorithm.