58 search results - page 10 / 12 » A probabilistic framework for joint segmentation and trackin... |
161
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CVPR
2007
IEEE
16 years 9 days ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
178
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CVPR
2011
IEEE
15 years 1 months ago
2011
IEEE
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
199
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
185
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ECCV
2002
Springer
16 years 7 months ago
2002
Springer
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
173
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ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...