基于动态规划的多目标跟踪算法及实现

MULTITARGET TRACKING ALGORITHM AND IMPLEMENTATION BASED ON DYNAMICAL PROGRAMMING

  • 摘要: 为探测和跟踪由侧视或前视红外(IR)成像传感器观察到的、按象素排列的低信噪比目标,设计了一种基于动态规划(DP)的算法。算法的优点是对微弱目标的高检测灵敏度,及对目标机动、传感器信号跳动和脉冲干扰的鲁棒性。其特点是:将目标探测和跟踪合并成涉及目标运动、背景噪声和杂波统计模型的单一优化过程,包括一种新的得分泛函的设计和为减少计算量而对DP算法进行的扩展.

     

    Abstract: A multitarget tracking algorithm is designed for low signal-to-noise ratio datas acquired by infrared sensor array, which advantage is higher sensitivity to weak targets, robust to pulse interference and target acceleration. The algorithm integrates target detection, target tracking, and ground noise filtering in a single optimization procedure. A new trace-score function is designed and the dynamical programming procedure is extended to the interior frame searching.

     

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