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IJRR
2006
183views more  IJRR 2006»
14 years 9 months ago
Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application
Reliable and efficient perception and reasoning in dynamic and densely cluttered environments are still major challenges for driver assistance systems. Most of today's system...
Christophe Coué, Cédric Pradalier, C...
CVPR
2005
IEEE
15 years 11 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
PSIVT
2007
Springer
118views Multimedia» more  PSIVT 2007»
15 years 3 months ago
Vision-Based Guitarist Fingering Tracking Using a Bayesian Classifier and Particle Filters
This paper presents a vision-based method for tracking guitar fingerings played by guitar players from stereo cameras. We propose a novel framework for colored finger markers track...
Chutisant Kerdvibulvech, Hideo Saito
ICASSP
2011
IEEE
14 years 1 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
AAAI
2008
14 years 12 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...