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ICPR
2008
IEEE
15 years 4 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
ICCV
2009
IEEE
1068views Computer Vision» more  ICCV 2009»
16 years 2 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...
107
Voted
ECCV
2002
Springer
15 years 11 months ago
Bayesian Estimation of Layers from Multiple Images
When estimating foreground and background layers (or equivalently an alpha matte), it is often the case that pixel measurements contain mixed colours which are a combination of for...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...
62
Voted
ICRA
2007
IEEE
151views Robotics» more  ICRA 2007»
15 years 3 months ago
Moving Shadow Detection with Low- and Mid-Level Reasoning
— In this paper, we propose a multi-level shadow identification scheme which is generally applicable without restrictions on the number of light sources, illumination conditions...
Ajay J. Joshi, Stefan Atev, Osama Masoud, Nikolaos...
CVPR
2005
IEEE
15 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell