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ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 2 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
WSCG
2003
318views more  WSCG 2003»
13 years 9 months ago
Quality Issues of Hardware-Accelerated High-Quality Filtering on PC Graphics Hardware
This paper summarizes several quality issues of an approach for high-quality filtering with arbitrary filter kernels on PC graphics hardware that has been presented previously. ...
Markus Hadwiger, Helwig Hauser, Torsten Mölle...
ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
ICPR
2008
IEEE
14 years 3 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+
C5
2005
IEEE
14 years 1 months ago
Filters and Tasks in Croquet
Croquet [11,12] is a collaborative 3D platform that allows users to work together to create and share ideas. From the beginning we have worked to ensure that the Croquet interface...
David A. Smith, Andreas Raab, Yoshiki Ohshima, Dav...