一种红外多目标跟踪算法

提出了一种红外多目标的跟踪算法,算法将融合后的红外目标特征值作为特征匹配值,结合卡尔曼滤波算法,给出目标在下一时刻的预测位置,得出以预测位置为中心的搜索区域,计算搜索区域内所有目标的特征匹配值,匹配值最接近的即为需要跟踪的目标。实验结果表明,该算法简单,实时性好,能够较好剔除虚假点,并能对目标稳定跟踪。

Infrared multi-target tracking algorithm

An infrared multi-target tracking algorithm is proposed. The infrared target characteristic value after fusion is regarded as the eigenvector,then combining with the Kalman filter,predicted location of the target in the next moment is given,and search area that takes the predicted location as the center is obtained. All feature matching values of targets are calculated in the searching area. The closest matching values are the target. The simulation results show that the presented algorithm runs quickly and has good instantaneity,and it can eliminate the false targets and can track the multi-target stably.