Abstract : This paper presents a robust tracking method based on the integration of visual saliency information into the particle ﬁlter framework. While particle ﬁlter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when the target object and background have similar color distributions. We show that considering saliency information signiﬁcantly improves the performance of particle ﬁlter based tracking. In particular, the proposed method is robust against occlusion and large illumination variation while requiring a reduced number of particles. Experimental results demonstrate the efﬁciency and effectiveness of our approach.