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» Mean shift-based clustering
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ICCV
2003
IEEE
11 years 3 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
PR
2007
293views more  PR 2007»
10 years 21 days ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
ICPR
2008
IEEE
10 years 7 months ago
Improvement on Mean Shift based tracking using second-order information
Object tracking based on Mean Shift (MS) algorithm has been very successful and thus receives significant research interests. Unfortunately, traditional MS based tracking only ut...
Lijuan Xiao, Peihua Li
ICIP
2004
IEEE
11 years 2 months ago
Mean shift based nonparametric motion characterization
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
ROBOCUP
2007
Springer
157views Robotics» more  ROBOCUP 2007»
10 years 7 months ago
Mean-Shift-Based Color Tracking in Illuminance Change
Abstract. The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although it is important to adapt the mean-shift kernel to handle changes in il...
Yuji Hayashi, Hironobu Fujiyoshi
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