New particle filter object tracking algorithm

To improve the performance of object tracking, a particle filter algorithm was proposed which uses state partition technique and parallel extended kalman filter to construct proposal distribution. This proposal enhances the estimation accuracy compared to traditional filters. At the same time, color model and shape model are adaptively fused in the framework, a new model update scheme is also combined. The experimental results show the availability of the proposed algorithm.