均值平移模型是处理含粗差观测值的常用模型之一。
提出了一种融合均值平移和粒子滤波的方法，综合了二者的效率和可靠性等优点。
The article presents a fusion method that combines mean shift and particle filter. It also integrates the efficiency and robust excellence of the two methods.
主要提出两种全新的阴影检测算法—基于整体变分理论的检测法和基于均值平移理论的检测法。
Brings forth two new shadow detection algorithms: one is based on total variation theory and the other is based on mean shift theory.
其次，在人脸跟踪方面采用基于均值平移的算法进行跟踪，最终实现图像序列的自动人脸跟踪。
Secondly, we use the mean shift algorithm to track the faces. We realize automatic face tracking of image sequence eventually.
因此，本系统使用以直方图为模式特征，以均值平移算法为计算方法的实时跟踪算法为本系统的核心跟踪算法。
Therefore, the kernel-tracking algorithm in our system is based on the mode of histogram and the search method of Mean Shift algorithm.
本文介绍了一种用于分析具有多峰分布特征的非参数方法-均值平移，并且展示了它在不同应用中的优良的性能。
This thesis introduces a non parametric procedure for the analysis of multimodal data based on mean shift property, and demonstrates its superior performance in various applications.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
应用推荐