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» Mean shift based nonparametric motion characterization
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CVPR
2008
IEEE
14 years 9 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ECCV
2002
Springer
14 years 9 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
ICASSP
2009
IEEE
14 years 2 months ago
A nonparametric test for stationarity based on local Fourier analysis
In this paper we propose a nonparametric hypothesis test for stationarity based on local Fourier analysis. We employ a test statistic that measures the variation of time-localized...
Prabahan Basu, Daniel Rudoy, Patrick J. Wolfe
ICPR
2004
IEEE
14 years 8 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
ACCV
2006
Springer
14 years 1 months ago
Pseudo Measurement Based Multiple Model Approach for Robust Player Tracking
This paper presents a robust player tracking method for sports video analysis. In order to track agile player stably and robustly, we employ multiple models method, with a mean shi...
Xiaopin Zhong, Nanning Zheng, Jianru Xue