Abstract：Particle degeneration is a key issue which influences the performance of a particle filter. To improve the quality of particle sampling and the accuracy of visual tracking, a ball particle filter algorithm for visual tracking is proposed. Ball sampling mode guarantees the valid particles in state-space. Compared to the conventional particle filter, the proposed method uses much fewer particles to ameliorate the diversity of distribution, and overcomes the degeneration problem effectively. By iterative motion of ball, particles are moved towards the regions with larger values of posterior density function. Ball particle filter without depending on state-mode can track the maneuver object with irregular movement. The simulation results show that the proposed method improves the efficiency of particles and achieves fine tracking precision.
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2012, Vol. 25 
