基于红外鱼眼探测系统的运动目标模型

建立了适用于红外鱼眼系统的目标运动模型,在不影响精度的前提下减少计算量是达到实时稳定地跟踪红外目标的途径之一。分析了目标在该系统成像的运动特性,结合系统帧频采样率较高的特点,提出了一种改进的匀速运动模型,并从理论上与"当前"统计模型的跟踪精度进行了对比分析。结果表明,在红外鱼眼系统采样率较高的情况下,匀速运动模型可以达到与"当前"统计模型相当的跟踪精度;利用卡尔曼滤波对模拟轨迹进行跟踪实验,验证了上述分析结果的正确性。该模型结构简单、运算量少,对于红外鱼眼系统下目标实时跟踪具有重要的意义。

Maneuvering Target Model of the Infrared Fisheye Detecting System

In order to build a proper maneuvering target model for the infrared fisheye warning system, the target moving characteristics on the image surface are analyzed. A modified constant velocity model is presented by virtue of the system′s higher sampling frequency. Comparing with the current statistical model, its tracking accuracy is analyzed theoretically. It is found that, for the infrared fisheye warning system with high sampling frequency, the tracking accuracy of the constant velocity model can reach that of the current statistical model. With Kalman filtering, the analog track is used for the tracking experiment, and it is proved that the result above is correct. Above all, this model, with its simple structure and less computation, is available for the infrared fisheye warning system.