关键词: 红外目标跟踪, 粒子滤波, Mean Shift算法, 直方图

Abstract: To deal with the problem of occlusion and deformation，a novel infrared moving object tracking method based on particle filter is presented in this paper.Firstly，it utilizes the intensity distribution to represent infrared object，and constructs the observation probability model by statistical histogram.Then，it treats the motion of aircraft as non-stationary process of confined inertia，and introduces the linear fitting prediction as state transition model.Experimental results on sequential images show that our method can track steadily when the object moves fast or is occluded，the overall performance of the proposed method is better than Mean Shift algorithm.

Key words: infrared object tracking, particle filter, Mean Shift algorithm, histogram