基于自适应跟踪窗的红外小目标跟踪方法

针对采用固定跟踪窗的传统跟踪方法容易将云层边角等干扰信息纳入跟踪窗,从而影响目标稳定跟踪的问题,提出了一种自适应跟踪窗的算法。在检测到目标的前提下,通过Kalman滤波器动态地改变目标跟踪过程中跟踪窗的大小,以减少跟踪过程中云层等干扰信息对跟踪的影响,并减少算法需要处理的信息量。在真实红外跟踪平台上的实验表明,提出的算法在干扰抑制和运行速度方面都有一定程度的提高。

Algorithm for dim target tracking in infrared image based onadaptive tracking window

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.