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» Tracking Complex Objects Using Graphical Object Models
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VMV
2008
116views Visualization» more  VMV 2008»
13 years 10 months ago
A GPU-accelerated particle filter with pixel-level likelihood
We present in this paper a GPU-accelerated particle filter based on pixel-level segmentation and matching, for real-time object tracking. The proposed method achieves real-time pe...
Claus Lenz, Giorgio Panin, Alois Knoll
VC
1998
66views more  VC 1998»
13 years 8 months ago
Vertex representations and their applications in computer graphics
The vertex representation, a new data structure for representing and manipulating orthogonal objects, is presented. Both interiors and boundaries of regions are represented implic...
Claudio Esperança, Hanan Samet
ICIP
2003
IEEE
14 years 10 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, ...
IBPRIA
2003
Springer
14 years 2 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 ...
CVPR
2003
IEEE
14 years 2 months ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni