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基于特征融合的粒子滤波在红外小目标跟踪中的应用

DOI: 10.11834/jig.20100115

Keywords: 红外小目标跟踪,粒子滤波,特征融合,灰度直方图,分形维数

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Abstract:

针对红外图像序列中的小目标跟踪问题,在分析红外小目标特点的基础上,提出了一种基于特征融合的粒子滤波目标跟踪算法。该方法利用粒子滤波支持目标特征融合的优点,提出将灰度特征和分形特征相融合,并将融合后的信息用于粒子权值的计算,从而大大提高了跟踪算法的稳健性。实验结果表明,和传统的粒子滤波算法相比,该算法能够更加准确、有效地跟踪红外序列中的小目标。

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