图像跟踪系统中机动目标预测的实现

Realization of Maneuvering Target Prediction in Image Tracking System

针对装甲车上的图像跟踪系统,提出了一种机动目标预测方法。将目标的运动分解为两部分,即全局运动和局部运动,并根据各自的动态特性分别进行预测。以局部运动预测为重点,通过对机动目标跟踪技术的研究,建立起性能优良的跟踪滤波器,并将其扩展到预测滤波器中对目标的未来运动状态进行预测,从而提出了“交互式多模型预测算法”。仿真结果表明,该算法具有预测精度高、自适应能力强的特点,同时给出了计算方法。

A method of maneuvering target prediction is presented for image tracking system armored on armored vehicle. The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their own dynamic behavior. This paper puts its emphasis on local motion prediction. The maneuvering target tracking （MTT） technique is studied in order to build a good tracker, which is then extended into a predictor to estimate the future moving state of target, thereby putting forward ＂interacting multiple-model（IMM） prediction algorithm＂. As the simulation shows, this algorithm has high prediction precision and good self-adaptive capability. Besides, the prediction gate computation is given.