图像跟踪系统中机动目标预测的实现

Implementation of maneuver target prediction in image tracking system

针对装甲车上的图像跟踪系统,提出一种机动目标预测方法。将目标的运动分解为2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。文章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“交互式多模型预测算法”,并对该算法进行仿真,给出速度均方根误差的仿真结果。仿真结果表明:该算法预测精度高、自适应能力强。最后还给出了预测门的计算方法。

A method of maneuvering target prediction is presented for vehicle-mounted image tracking system. The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their intrinsic dynamic behavior. The local motion prediction is described emphatically in this paper. A high-performance filtering tracker, which was then extended into a predictor to estimate the future moving state of target, was built up through the research on the maneuvering target tracking （MTT） technique, thereby the ＂interacting multiple-model （IMM） prediction algorithm＂ is put forward. As the simulation shows, this algorithm has high precision for predicton and good self-adaptive capability. Besides, the method of the prediction gate computation is given in this paper.