For small target tracking in infrared (IR) image sequences

a particle filter algorithm based on feature fusion is presented with the analysis of the characters of small IR targets. Taking the advantage of particle filter of supporting target feature fusion method

this algorithm combines the gray feature with fractal feature

and then uses the fusion results to calculate the particle weights

which greatly improves the robustness of the tracking algorithm. The experimental results show that the presented method is more accurate and effective for small IR target tracking in infrared image sequences than the traditional particle filter method.