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» Mean shift based nonparametric motion characterization
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ICCV
2001
IEEE
14 years 9 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 2 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
ICIP
2006
IEEE
14 years 9 months ago
Optical-Flow Based on an Edge-Avoidance Procedure
This paper presents a differential optical flow method which accounts for two typical motion-estimation problems : (1) flow regularization within regions of uniform motion while (...
Pierre-Marc Jodoin, Max Mignotte
CVPR
1997
IEEE
13 years 12 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
ICPR
2006
IEEE
14 years 8 months ago
Nonparametric Background Generation
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components descript...
Debin Zhao, Hongxun Yao, Wen Gao, Xilin Chen, Yazh...