Improved Object Tracking With Camshift Algorithm

In this paper, we present a new object tracking approach based on the analysis of a two-dimensional image distribution histogram calculated from two colorimetric channels automatically selected on criteria of representativeness. Among the essential contributions of this work, we can quote a better modelling of the object to track and the management of the target appearance changes during the sequence. Our approach is a prolongation of the CamShift algorithm applications (continuously adaptive meanshift) in order to track object presenting strong modifications of shape and luminosity