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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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CAEPIA
2003
Springer
14 years 3 months ago
A Method to Adaptively Propagate the Set of Samples Used by Particle Filters
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
Alvaro Soto
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
14 years 4 months ago
Adaptive Control of Heterogeneous Marine Sensor Platforms in an Autonomous Sensor Network
Abstract— This paper describes an investigation into the control of autonomous mobile sensor platforms in a marine sensor network used to provide monitoring of transitory phenome...
Donald P. Eickstedt, Michael R. Benjamin, Henrik S...
FGR
2004
IEEE
141views Biometrics» more  FGR 2004»
14 years 1 months ago
Smart Particle Filtering for 3D Hand Tracking
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
CVPR
2008
IEEE
15 years 2 days ago
Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking
Given an object model and a black-box measure of similarity between the model and candidate targets, we consider visual object tracking as a numerical optimization problem. During...
Zhaozheng Yin, Robert T. Collins
ICIP
2004
IEEE
14 years 11 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...