Sciweavers

161 search results - page 1 / 33
» An optical flow probabilistic observation model for tracking
Sort
View
ICIP
2003
IEEE
14 years 6 months ago
An optical flow probabilistic observation model for tracking
In this paper, we define an observation model based on optical flow information to track objects using particle filter algorithms. Although the optical flow information enables us...
Antonio Garrido Carrillo, José M. Fuertes, ...
ICPR
2004
IEEE
14 years 5 months ago
Evaluation of Three Optical Flow-Based Observation Models for Tracking
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...
José M. Fuertes, Manuel J. Lucena, Nicolas ...
IBPRIA
2003
Springer
13 years 9 months ago
Probabilistic Observation Models for Tracking Based on Optical Flow
In this paper, we present two new observation models based on optical flow information to track objects using particle filter algorithms. Although optical flow information enabl...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
ECCV
2002
Springer
14 years 6 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
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...
Ronan Fablet, Michael J. Black
CVPR
2008
IEEE
14 years 6 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet