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Mean-Shift-object-tracking
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1. 静态背景下的背景预测法目标检测2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法4. 重心多目标跟踪方法
,1. Static background prediction in the context of target detection method 2. Static background frame difference method for target detection 3. Mean Shift Object Tracking Method 4.
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运动目标跟踪算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
,Moving Target Tracking Algorithm include: 1. Quiescent in the context of target detection in the context of prediction 2. Static background frame difference metho
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基于meanshift算法最全面的资料收集，是本人长期收集该算法的结晶，里面有均值漂移算法的word文档，PPT资料，基于meanshift的目标跟踪算法（MATLAB），还有相应的文章，下了绝不后悔，将心比心，互惠互利。,Meanshift algorithm based on the most comprehensive data collection, is a long time, I collected the crystallization of the algorithm, whi
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视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。,Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The conte
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ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
Bayesian Filter. Bayesian (Bayesi
a target tracking system MATLAB s
cubic spline curve fitting This i
book is widely used in engineerin
this
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Scale and Orientation Adaptive Mean Shift Tracking
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基于OpenCV实现的图像特征区域跟踪程序，基于类Mean-Shift实现的颜色直方图概率匹配算法，可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a
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kalman颜色跟踪算法 效果比meanshift好 opencv -kalman opencv color tracking algorithm
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本程序是一个采用均值位移向量的方法进行的运动跟踪算法-This procedure is a displacement vector by the method of the mean motion tracking algorithm
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关于mean shift算法在目标跟踪方面的应用，讲述了mean shift算法的基本原理，和跟踪方法-On the mean shift algorithm in the application of target tracking, mean shift algorithm describes the basic principles, and the tracking method
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mean shift 算法用于目标跟踪,其中有4个文件.-mean shift algorithm for target tracking, including four documents.
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A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kern
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提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and pos
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Mean Shift real time tracking
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基于mean-shift运动目标跟踪matlab源代码-Based on mean-shift object tracking matlab source code
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mean shift tracking, 经我修改 可以运行-mean shift tracking code, running successfully.
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meanshift object tracking
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均值便宜跟踪的示例程序，可以帮助大家了解均值偏移的过程。-Mean shift track sample program that can help us understand the process mean shift.
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在matlab中实现mean shift的目标跟踪，对于初学者具有很好的参考意义。-Mean shift in matlab to achieve the target track, is a good reference for beginners significance.
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