基于改进均值位移的红外目标跟踪方法
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TP391

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(总装)武器装备预研基金


IR TARGET TRACKING BASED ON IMPROVED MEAN SHIFT METHOD
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    摘要:

    针对红外序列图像中目标存在旋转的问题,提出了一种改进的Mean shift跟踪方法.首先通过建立带有带宽矩阵Gaussian核的Mean shift矢量,采用类似EM的方法给出了递推公式;并且通过对图像序列的运动补偿,提高了算法的适应性;同时通过和Kalman滤波相结合,提高了算法的鲁棒性.实验结果证明算法能够成功实现对红外目标的跟踪,并且对目标旋转和缩放具有很强的适应性.

    Abstract:

    For target rotation in IR image sequence, an improved Mean shift tracking method was approached. Mean shift vector was established by Gaussian kernel with bandwidth matrix, and recursive equations were given in EM like manner. Flexibility of algorithm was improved by motion compensation of image sequence. Robustness of algorithm was improved by combining with Kalman filter. Experiments show that our method achieves success in IR target tracking, at same time the method can be adapted to the transformations of rotation and zooming.

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宋新,王鲁平,王平,沈振康.基于改进均值位移的红外目标跟踪方法[J].红外与毫米波学报,2007,26(6):429~432]. SONG Xin, WANG Lu-Ping, Wang Ping, SHEN Zhen-Kang. IR TARGET TRACKING BASED ON IMPROVED MEAN SHIFT METHOD[J]. J. Infrared Millim. Waves,2007,26(6):429~432.]

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  • 收稿日期:2006-10-08
  • 最后修改日期:2007-05-24
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