Application of Particle Filter Based on Feature Fusion in Small IR Target Tracking
基于特征融合的粒子滤波在红外小目标跟踪中的应用

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.