Traditional resampling methods in particle filter suffer from the disadvantages of unstable filtering performance, severe fluctuation of Effective Sample Size (ESS) and sample impoverishment. A target tracking algorithm based on particle filter with Chopthin resampling is proposed.Compared with traditional resampling, Chopthin resampling produces a set of unequal weighted particles. It discards less edge particles when the particles are relatively concentrated, which is helpful for solving the sample impoverishment problem of the traditional resampling.Different from the traditional resampling that only occurs when ESS is below a threshold, Chopthin resampling can be implemented in every iteration cycle. Therefore, the ESS is and filtering performance are more stable. Simulation shows that the new method can overcome the disadvantage of traditional resampling without increasing the calculation cost.