  There is a requirement to determine whether a given person of interest has
already been observed over a network of cameras in video surveillance systems.
A human appearance obtained in one camera is usually different from the ones
obtained in another camera due to difference in illumination, pose and
viewpoint, camera parameters. Being related to appearance-based approaches for
person re-identification, we propose a novel method based on the dominant color
histogram and spatial configuration of dominant color regions on human body
parts. Dominant color histogram and spatial configuration of the dominant color
regions based on dominant color descriptor(DCD) can be considered to be robust
to illumination and pose, viewpoint changes. The proposed method is evaluated
using benchmark video datasets. Experimental results using the cumulative
matching characteristic(CMC) curve demonstrate the effectiveness of our
approach for person re-identification.
