【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,并利用该矩阵对目标位置和大小进行修正。实验表明改进算法有效的提高了Mean Shift算法在目标尺度变化时的跟踪稳定性,对目标的尺度变化具有适应性。更多还原

【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.更多还原