In order to improve the tracking accuracy and robustness

LSPF (Local Search Particle Filter) is proposed that is the visual target tracking algorithm based on the combination of particle filter (PF) and local search (LS). After weight of each sample is obtained by particle filter

local search analysis is applied to each sample to make the samples of small weight converge at that of large weight that overcomes degeneracy problem efficiently.The experimental results show that the average tracking error of standard PF algorithm is 10.89

however

the average tracking error of the new algorithm is only 3.49

and tracking performance is improved evidently.Especially

when the target is interfered

it can be accurately tracked with LSPF algorithm which ensures advantageously the stability of tracking.