Algorithm for dim target tracking in infrared image based onadaptive tracking window
基于自适应跟踪窗的红外小目标跟踪方法

In view of the problem of tracking method traditional use fixed tracking window was easy to bring the interference, such as cloud edge information into the tracking window, which impacted the robustness of target tracking, this paper presented a kind of adaptive tracking window algorithm. For the purpose of reducing the impact from the cloud edge information in tracking process and the amount of information needed to process, this algorithm dynamicaley changed the size of the track window by Kalman filter while target tracking on the premise of detected the target. By being tested on the real infrared tracking platform, the proposed algorithm shows a certain degree of improvement both in interference suppression and the processing speed.