Particle filter target tracking method optimized by improved mean shift

In order to achieve effective dissemination of the particle set and to overcome the degradation of standard particle filter tracking. Particle filter target tracking algorithm which was optimalized by scale and orientation adaptive Mean shift is proposed. Considering improved mean shift as an optimization mechanism of particle propagation, the particles can be effectively dispersed and clustering, so it can effectively solve the degradation problems. Finally, this method is applied to real image sequences. Experiments show that the performance and efficiency of the algorithm is significantly better than the standard particle filter tracker.