58 search results - page 10 / 12 » A probabilistic framework for joint segmentation and trackin... |
CVPR
2007
IEEE
14 years 1 months 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, ...
CVPR
2011
IEEE
13 years 3 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...
CVPR
2004
IEEE
14 years 9 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...
ECCV
2002
Springer
14 years 9 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...
ICPR
2000
IEEE
13 years 12 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¬...