233 search results - page 18 / 47 » A Probabilistic Framework for Combining Tracking Algorithms |
ECCV
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
BMVC
2001
13 years 9 months ago
2001
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
NIPS
2007
13 years 8 months ago
2007
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
MVA
2007
13 years 7 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We present an approach for the dynamic combination of multiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of dem...