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» Tracking Periodic Motion using Bayesian Estimation
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CVPR
2004
IEEE
14 years 11 months ago
Visual Odometry
We present a system that estimates the motion of a stereo head or a single moving camera based on video input. The system operates in real-time with low delay and the motion estim...
David Nistér, James R. Bergen, Oleg Narodit...
PAMI
2000
260views more  PAMI 2000»
13 years 9 months ago
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
We describe new techniques to detect and analyze periodic motion as seen from both a static and moving camera. By tracking objects of interest, we compute an object's self-si...
Ross Cutler, Larry S. Davis
PAMI
2006
233views more  PAMI 2006»
13 years 9 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...
ECCV
2008
Springer
14 years 11 months ago
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
Junseok Kwon, Kyoung Mu Lee
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach