A statistical approach to culture colors distribution in video sensors

Color is an important and powerful cue in the distinction

and recognition of objects, however identifying or matching

the surface color of a moving object in a video surveillance

system is very critical. In this paper we describe a new approach

aiming at providing a comparison of themore widely

used color spaces in identifying colors in motion sensors.

We employ a statistical approach by conducting extensive

data mining on video clips collected under various lighting

conditions and distances from several video-cameras. The

goal is to learn how individual colors can drift in different

illumination conditions and with different color spaces.