664 search results - page 37 / 133 » A Probabilistic Background Model for Tracking |
106
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ECCV
2002
Springer
16 years 3 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...
106
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ECCV
2006
Springer
16 years 3 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...
125
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JIIS
2002
15 years 1 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 2 months 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...
112
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ICASSP
2008
IEEE
15 years 8 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...