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ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling
ICCV
2009
IEEE
1068views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Illumination Aware MCMC Particle Filter for Long-Term Outdoor Multi-Object Simultaneous Tracking and Classification
This paper addresses real-time automatic visual tracking, labeling and classification of a variable number of objects such as pedestrians or/and vehicles, under timevarying illu...
Franc¸ois Bardet, Thierry Chateau, Datta Ramadasa...
CVPR
1999
IEEE
16 years 8 months ago
Eigen-Texture Method: Appearance Compression Based on 3D Model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two metho...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
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
2000
IEEE
16 years 8 months ago
Structure from Motion without Correspondence
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the ma...
Frank Dellaert, Steven M. Seitz, Charles E. Thorpe...