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» Isomap Tracking with Particle Filtering
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175
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 9 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
123
Voted
CORR
2002
Springer
113views Education» more  CORR 2002»
15 years 2 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
149
Voted

Publication
264views
14 years 11 months ago
Combined feature evaluation for adaptive visual object tracking
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...
Zhenjun Han, Qixiang Ye, Jianbin Jiao
105
Voted
ICIAP
2001
Springer
16 years 2 months ago
Integrated Tracking with Vision and Sound
The research summarised here is working towards automatic control systems for cameras, in support of remote meetings. Progress is reported on several fronts: use of active contour...
Andrew Blake, Michel Gangnet, Patrick Pérez...
215
Voted
CVPR
2010
IEEE
13 years 11 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu