664 search results - page 37 / 133 » A Probabilistic Background Model for Tracking |
ECCV
2002
Springer
16 years 1 months ago
2002
Springer
Abstract. In this work, we introduce a model-based approach to extracting the silhouette of people in motion from stereo video sequences. To this end, we extend a purely stereo-bas...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
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JIIS
2002
14 years 11 months ago
2002
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
ICPR
2002
IEEE
16 years 26 days ago
2002
IEEE
Tracking people within a scene has been a longstanding challenge in the field of computer vision. A common approach involves matching the background against the incoming video str...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...