664 search results - page 58 / 133 » A Probabilistic Background Model for Tracking |
107
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
102
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ICIP
2005
IEEE
15 years 5 months ago
2005
IEEE
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
113
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
138
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CVPR
2011
IEEE
14 years 3 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
120
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ICIP
2009
IEEE
16 years 26 days ago
2009
IEEE
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...