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meanshiftprogram
- 均值偏移算法,在图象的平滑和分割方面是一种很有用的处理方法-mean deviation algorithm, the image smoothing and segmentation is a very useful approach
kalmen1
- 基于卡曼滤波与均值偏移算法的目标跟踪 这是一篇比较好的论文-Based on the Kaman filter and mean shift tracking algorithm is a good paper
Novel-robust-and-self-adaptive-road-following-algo
- 本文提出一种基于改进图模型的自适应道路跟踪算法,利用基于边缘置信度的均值偏移 算法,将图像划分为具有准确边界的若干同质区域,以这些区域为结点构建改进图模型,然后根据道路/非路模型统计信息,采用 Graph Cut 方法获得最终的二值图。该算法将Graph Cut 和均值偏移方法有效融合,以克服各自缺点,并通过道路/非路模型自更 新使得该算法可有效适应室外环境下复杂场景变化。-Two dimension road following is a crucial task of visio
meanshift
- 5篇用meanshift均值偏移方法对图像进行分割,平湖,边缘检测等的英文文献。详细阐述了其原理,应用。-Five articles with meanshift mean migration method of image segmentation,smooth, edge detection and so on English literature detailed expounds its principle& application
1128
- 卡尔曼滤波和自适应窗口的均值偏移算法跟踪目标-Kalman filtering and adaptive window mean shift algorithm to track the target
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
CVMoments
- 本工程是利用c#实现了经典的均值偏移算法目标跟踪,特征数自定义,同时将背景二值化,显示目标的质心-this project use C# complise the mean shift algorithm ,the target track is very well
IET_CV_SOAMST_2011
- 一个比例和方向自适应均值漂移跟踪算法(SOAMST) 提出本文所要解决的问题,如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法,可以很好地估计目标的位置,规模的同时, 方向的变化,不能自适应估计。考虑到图像(重量) 是来自于目标运动模型和候选模型可以代表的可能性,一个 像素属于目标,我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数, 提出了简
meanshift
- 一般是指一个迭代的步骤,即先算出当前点的偏移均值,然后以此为新的起始点,继续移动,直到满足一定的结束条件。-Generally refers to an iterative step, which is to offset the calculated mean of the current point, and then as a new starting point, continue to move until the end of the meet certain conditions.
MeanShift
- meanShift,均值漂移,在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。一般是指一个迭代的步骤,即先算出当前点的偏移均值,然后以此为新的起始点,继续移动,直到满足一定的结束条件。(MeanShift, mean shift is widely used in clustering, image smoothing, segmentation, tracking and so on. Generally refers to an iterative step, that is, first