Abstract:

For the target tracking based on Mean Shift may be lost when the infrared target has a low signal-to-noise ratio (SNR), an improved Mean Shift tracking method is approached. First the features of gray and texture are fused to enhance the target information. Then to reduce the localization error of object tracking, coefficients based on the color histograms of the background pixels around the target are computed and incorporated into the computation of gray and texture spatial histograms. Meanwhile, the criterion of model updating is presented. Experimental results show that the proposed algorithm achieves success in infrared target tracking, at the same time the algorithm is able to eliminate drifting phenomenon caused by similar background.