mean shift信息详情
均值漂移
shift───v.转移；快速移动；变换；改变观点；推卸（责任）；振作；移位；狼吞虎咽地吃；去除（污迹）；销售，出售；换挡；轮班；含糊其辞，拐弯抹角；n.转移；改变，转变；手段；轮班；轮班职工；转换（键）；（直筒式）连衣裙，内衣；计谋，诡计
shift workers───按班轮换的工人
night shift───n.夜班；夜班工人；n.（NightShift）夜览；n.夜班，夜班工人; 晚班
shift right───右移位；[计]右移
shift gear───改变方法；换挡；变速机构；调档齿轮
consonantal shift───辅音移位
left shift───向左移
shift delete───shift删除
rotating shift───轮流换班
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.───均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
This paper proposes a Mean Shift tracking method for fusion image.───提出一种针对融合图像的均值位移跟踪方法。
In the color image sequence, the mean shift algorithm is an efficient method for tracking object.───在彩色序列图像目标跟踪中，均值移位算法是一种有效的方法。
A comprehensive survey of the up-to-date research and application for mean shift are presented.───对均值漂移算法的理论和应用作一全面的综述。
Mean-Shift: Algorithm that does not require any a priori knowledge about the number of clusters and can produce arbitrarily shaped clusters.───Mean-Shift：无需任何关于集群数量的推理知识的算法，它可以生成任意形状的集群。
Since the convergence velocity of mean shift is too slow, fast mean shift for image segmentation is proposed based on conjugate gradient.───针对均值漂移算法收敛速度较慢的问题，本文提出了基于共轭梯度的快速均值漂移算法，并将其用于图像分割。
The fifth chapter discusses the influence of mean shift disturbance to conditional ridge estimation in restricted linear model.───第五章讨论了均值漂移对带约束线性模型条件岭估计的影响问题。
The hybrid algorithm first filters an image using mean shift technique and then segments the image with graph based segmentation algorithm.───混合算法首先利用均值漂移技术对图像进行滤波，然后再使用图分割算法对图像进行分割。
Secondly, we use the mean shift algorithm to track the faces. We realize automatic face tracking of image sequence eventually.───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。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
Brings forth two new shadow detection algorithms: one is based on total variation theory and the other is based on mean shift theory.
In the color image sequence, the mean shift algorithm is an efficient method for tracking object.
Experiments show that his method overcomes the defect of blocky effect in mean shift filtering, and is superior to mean shift filtering, Gaussian scale space filtering and median filter.
The method overcomes the defect of blocky effect in mean shift filtering.
Through the combination of adaptive gray scale bandwidth and threshold-based region mergence, we proposed a novel modified scheme of mean shift algorithm.
Mean Shift is a very good algorithm in visual target tracking area.
The experimental results show that the proposed method possesses nice properties of the mean shift and graph algorithm, so it is efficient and accurate, and it also reduces user interaction.
In the algorithm, each point is shifted using a filtering operator based on mean shift scheme to the local maximum of kernel density function to suppress noises and remove the outliers.