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KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
CsharpEdison
- 基于均值漂移（mean shift)算法的图像分割程序，可用于图像特征提取，图像识别等。参考文献：Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf-image segment algorithm based on mean shift, reference Comaniciu(2002) Mean shift- a robust approach toward feature spa
MeanShiftOverview
- 这是一篇介绍mean-shift算法的概括性文章，文中详细介绍了mean-shif算法的性能和作用-This is a descr iption of the mean-shift algorithm is a general article describes in detail the performance of mean-shif algorithm and the role of
UsingMeanShifttrackingAlgorithmsforRealTime
- 这是一篇介绍mean-shift算法用于实时跟踪和检测方面的文章-This is a mean-shift algorithm is introduced for real-time tracking and testing of articles
Meanshiftblobtrackingwithkernelhistogramfiltering.
- 这是一篇介绍mean-shift窗口变化的文章，他所介绍的窗口可以随着物体而变化。-This is a descr iption of the mean-shift window, change the article, he described the window can change with the object.
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- this paper present OBJECT TRACKING BY APPLYING MEAN-SHIFT