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ICIP
2005
IEEE
13 years 10 months ago
Improving particle filter with support vector regression for efficient visual tracking
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
Guangyu Zhu, Dawei Liang, Yang Liu, Qingming Huang...
IVC
2008
203views more  IVC 2008»
13 years 4 months ago
Multi-modal tracking using texture changes
We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from RANSAC and particle filterin...
Christopher Kemp, Tom Drummond
ICIP
2005
IEEE
14 years 6 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
IROS
2009
IEEE
304views Robotics» more  IROS 2009»
13 years 11 months ago
Real time tracking using an active pan-tilt-zoom network camera
— We present here a real time active vision system on a PTZ network camera to track an object of interest. We address two critical issues in this paper. One is the control of the...
Thang Ba Dinh, Qian Yu, Gérard G. Medioni
ICIP
2003
IEEE
14 years 6 months ago
Audio-visual speaker tracking with importance particle filters
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
Daniel Gatica-Perez, Guillaume Lathoud, Iain McCow...