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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 8 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CVPR
2001
IEEE
16 years 8 months ago
Relief Mosaics by Joint View Triangulation
Relief mosaics are collections of registered images that extend traditional mosaics by supporting motion parallax. A simple parallax interpolation algorithm based on computed corr...
Maxime Lhuillier, Long Quan, Harry Shum, Hung-Tat ...
CVPR
2004
IEEE
16 years 8 months ago
Efficient Tracking with the Bounded Hough Transform
The Bounded Hough Transform is introduced to track objects in a sequence of sparse range images. The method is based upon a variation of the General Hough Transform that exploits ...
Michael A. Greenspan, Limin Shang, Piotr Jasiobedz...