在跟踪部分，采用改进的均值漂移算法和卡尔曼滤波预测结合。
In the part of tracking, combining the improved Mean-Shift algorithm and Kalman filter prediction.
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。
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.
均值漂移算法是一种基于核密度梯度估计的特征空间分析算法，其实质是一种统计优化过程。
Mean shift based image segmentation algorithm is a kind of kernel density estimation based feature space analysis algorithm, and the nature of it is statistical optimization.
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