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目标尺度自适应的Mean Shift跟踪算法
引用本文:康一梅,谢晚冬,胡江,黄琪.目标尺度自适应的Mean Shift跟踪算法[J].兵工学报,2011,32(2):210-216.
作者姓名:康一梅  谢晚冬  胡江  黄琪
作者单位:(1.北京航空航天大学 软件学院, 北京 100037;2.中国兵器工业计算机应用技术研究所, 北京 100089)
摘    要:传统的Mean Shift跟踪算法由于固定了核函数的带宽,因而不能很好地对图像尺度不断变换的目标进行有效的跟踪.针对这一不足,提出了一种将尺度变换和Mean Shift跟踪相结合的目标跟踪方法.在每一帧中,先由Mean Shift得到目标位置,然后利用仿射变换原理计算得到相邻两帧之间目标的仿射变换矩阵,并利用该矩阵对目...

关 键 词:人工智能  Mean  Shift  目标跟踪  仿射变换  尺度自适应

Target Scale Adaptive Mean Shift Tracking Algorithm
KANG Yi-mei,XIE Wan-dong,HU Jiang,HUANG Qi.Target Scale Adaptive Mean Shift Tracking Algorithm[J].Acta Armamentarii,2011,32(2):210-216.
Authors:KANG Yi-mei  XIE Wan-dong  HU Jiang  HUANG Qi
Affiliation:(1.Software School, Beihang University, Beijing 100037, China;2.Beijing Institute of Computer Application, Beijing 100089, China)
Abstract:The traditional Mean-Shift tracking algorithm is not applied to track a size-changing target effectively due to the fixed band-width of its kernel function.For this reason,a new algorithm is proposed.In each frame,Mean Shift tracking algorithm is employed to get the target location,and then the affine structure between frames is calculated to re-correct the position and size of the target.Different experiments prove that the present method has better stability and robustness than the traditional algorithm.
Keywords:Mean Shift
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