Object Tracking Based on Particle Filter with Multi-scale Mode

In this paper, we propose a particle filter based tracker using multiscale mode to solve the scale changeable object tracking problem. Firstly, we discuss the traditional tracker\´s deficiency in dealing with scale changeable object and propose the multiscale mode. Then, we design our tracker under the particle filter framework using the proposed mode and "many to one" searching strategy. Finally, we compare our tracker with some existing trackers by tracking test on some video clips, which contain three categories of object scale change. Simulation results indicate that the proposed tracker distinctly improves both the tracking precision and efficiency. Compared with the traditional particle filter tracker, our tracker needs fewer particles and obtains more precise location and scale estimation.