Notice of RetractionObject Tracking by Mean Shift Based on Color Distribution and Simulated Annealing

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Easily falling into local extremum, plateaus, and fast moving targets couldn´t tracked, which are main handicap to mean shift application, especially in those cases to track the multi-articulated human body fine features. Based on the analysis of the causes of the mean shift, in this paper, a new tracking approach, which is the mean shift based on color distribution and simulated annealing (SACD-MS), is proposed for human body tracking. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant. And simulated annealing has the characteristics such as robustness and high efficiency, which can improve the veracity. Local extremum and plateaus of the mean shift can be avoided through information exchange based on color distribution and simulated annealing, and the target candidate positions are added, thereby converging at the mode values of the target candidate region efficiently. At the same time, the tracking ability is ameliorated even if having the occlusion, rapid movement. Experimental results indicate that the proposed algorithm of the SACD-MS is robust and practical.