58 search results - page 9 / 12 » A probabilistic framework for joint segmentation and trackin... |
CVPR
2003
IEEE
14 years 2 months ago
2003
IEEE
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
MVA
2007
13 years 8 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
2000
Springer
14 years 10 months ago
2000
Springer
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
MICCAI
2009
Springer
14 years 1 months ago
2009
Springer
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
AMDO
2006
Springer
14 years 15 days ago
2006
Springer
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...