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ICPR
2004
IEEE
14 years 6 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ICIP
2003
IEEE
14 years 6 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
PAMI
2008
235views more  PAMI 2008»
13 years 4 months ago
Dependent Multiple Cue Integration for Robust Tracking
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and po...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
13 years 11 months ago
An Object Tracking Scheme Based on Local Density
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
Zhuan Qing Huang, Zhuhan Jiang
BMVC
2010
13 years 3 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...