Infrared target tracking using bandwidth adaptive mean shift

A multiple features fusion and bandwidth adaptive mean shift tracking algorithm had been proposed. The iterative solution expressions of location and bandwidth had been established with fully parameterized bandwidth matrix based on M-estimator. The fused weight image had been produced with intensity and local standard deviation. The target template model had been generated by the combination of previous target template model and the mean value of the determined target models in the previous frames. An enlarged bandwidth matrix had been employed in the iterative solution of location vector to ensure location accuracy. To prevent the bandwidth from exploding in the presence of background clutter or imploding on self-similar target, regularization terms had been introduced. The visual results and evaluation measures show that the proposed tracking algorithm has the best performance compared with other three scale adaptive mean shift tracking algorithms.