233 search results - page 15 / 47 » A Probabilistic Framework for Combining Tracking Algorithms |
134
Voted
SSIAI
2000
IEEE
15 years 7 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
153
Voted
CVPR
2004
IEEE
16 years 4 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...
122
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TCSV
2008
15 years 2 months ago
2008
This paper presents a methodology for analyzing multimodal and multiperspective systems for person surveillance. Using an experimental testbed consisting of two color and two infra...
98
Voted
ICCV
2009
IEEE
15 years 16 days ago
2009
IEEE
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which en...
150
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ICIP
2009
IEEE
16 years 3 months 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...