Gaussian Particle Filter Based Algorithm for Tracking of a Dim Moving Point Target in IR Image Sequences

In order to solve the problems of deviations with large error occurred at the sharp comers of motion trajectories and poor stability of tracking algorithm presented in previous paper, and further make improvements to the tracking precision, in this paper the rather appropriate state model is established first of all, and then the effective observations are collected by using spatial-temporal detection and fusion in which the brightness information of the target included in the decision criteria for the first time. Under the different circumstances of Gaussian noise and non-Gaussian noise, the experimental results show that take the Gaussian particle filter as the tracking algorithm which has no use of re-sampling could have effectively improved the precision of algorithm for tracking dim moving point target in IR image sequences, and has a good real-time performances and good stability.