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基于人类记忆模型的粒子滤波鲁棒目标跟踪算法

, PP. 810-816

Keywords: 粒子滤波器(PF),人类记忆模型,基于记忆的粒子滤波器(MPF),遮挡处理,目标跟踪

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Abstract:

当目标被场景中的物体或其它运动目标遮挡,或者目标姿态发生很大改变时,粒子滤波器就会失效。为解决这类问题,受人类记忆机制的启发,文中将人类记忆模型引入到粒子滤波器模板更新过程,提出一种基于记忆的粒子滤波器。每个模板都要经过瞬时记忆、短时记忆和长时记忆3个空间的传输和处理。该粒子滤波器能记住曾经出现的目标模板,从而能更快地适应目标姿态的变化。实验结果验证了该算法的有效性。

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