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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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143
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CAEPIA
2003
Springer
15 years 9 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
130
Voted
IROS
2006
IEEE
177views Robotics» more  IROS 2006»
15 years 9 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...
153
Voted
FGR
2004
IEEE
141views Biometrics» more  FGR 2004»
15 years 7 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...
163
Voted
CVPR
2008
IEEE
16 years 5 months 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
118
Voted
ICIP
2004
IEEE
16 years 5 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...