Finally we use this dynamic model of optimization in mean-shift algorithm, and compute object's true position.
最后将最优化的运动模型用于基于核的均值转移算法中，从而获得运动目标的精确位置。
For reducing noise and preferably keeping the edge information, the mean-shift algorithm based on the HSV space was proposed.
为了能够更好的去除图像的噪声和很好的保留图像的边缘信息，提出了基于HSV空间的均值移动平滑算法。
The Gaussian kernel mean-shift algorithm which is deduced from kernel density estimation has not been widely employed in applications because of its low convergence rate.
由核密度估计推导获得的高斯核均值漂移算法因收敛速度慢在应用中效率不高。
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