引入目标灰度信息的多假设跟踪方法

Multiple hypothesis tracking algorithm by using target gray value

在传统的多假设跟踪(MHT)算法中,航迹置信度函数仅利用了目标的位置信息。对于红外搜索与跟踪(IRST)系统中的目标跟踪,还有目标灰度信息可以利用,因此在IRST系统的MHT算法中加入目标的灰度信息来重新构造航迹置信度函数和航迹启动条件,增强了算法抑制虚警的能力。通过跟踪5个高机动目标的仿真过程,对算法性能进行了检验,仿真结果表明,新的算法可以减少航迹数目、减少系统计算时间,并使算法具有更强的抑制噪声的能力。

In traditional multiple hypothesis tracking （MHT） algorithm, only target location information has been used for truth likelihood function of tracks. In infrared search and track system, target gray value can also be utilized to construct a new truth likelihood function and a new condition of track initial, which can improve MHT algorithm＇s capability of reducing false alarms. The performance of the algorithm is verified by simulating the tracking five highly maneuvering targets, the results show that the new algorithm can reduce the number of tracks and computation time, also has the more capability to restrain noises.