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» Dependent Multiple Cue Integration for Robust Tracking
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ICASSP
2011
IEEE
14 years 1 months ago
Multi-cue based multi-target tracking using online random forests
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
FGR
2002
IEEE
185views Biometrics» more  FGR 2002»
15 years 2 months ago
An Adaptive Fusion Architecture for Target Tracking
A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to mainta...
Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Al...
ECCV
2002
Springer
15 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
ICPR
2004
IEEE
15 years 10 months ago
Parallel Tracking of All Soccer Players by Integrating Detected Positions in Multiple View Images
Soccer, one of the popular sports around the world, is often broadcasted on TV, and various researches have done on soccer scene images such as strategy analysis, scene recovery, ...
Hideo Saito, Sachiko Iwase
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
15 years 3 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...