Human face tracking has received extensive attention because of its potential applications in many fields

such as video coding

surveillance and human-computer interface.The aim of this paper is to track human face in color image sequences effectively.A method using human skin feature integrated with Condensation(conditional density propagation) algorithm is proposed.At first

this paper presents a method of self-skin segmentation based on Hsu R L's skin color model

to detect human skin in color image correctly and effectively.Compared with conventional skin color model methods

this method has more precise detection performance in varying lighting condition.Additionally

this paper presents two improvements for Condensation algorithm: a simple and efficient sampling method based on the Metropolis algorithm and an adaptive dynamical model are used in Condensation algorithm for robust face tracking.Experimental results show that in complex backgrounds and occlusion case

this approach could track human face's free movement.