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» Sequential particle swarm optimization for visual tracking
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ICIP
2005
IEEE
13 years 11 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...
RAS
2010
108views more  RAS 2010»
13 years 4 months ago
Swarm-supported outdoor localization with sparse visual data
— The localization of mobile systems with video data is a challenging field in robotic vision research. Apart from artificial environmental support technologies like GPS locali...
Marcel Kronfeld, Christian Weiss, Andreas Zell
JCIT
2010
255views more  JCIT 2010»
13 years 18 days ago
Digital Watermarking Particle Swarm Optimization Based on Multi-wavelet
Watermark perceptibility and robustness must be ensured in order to enhance the practicality of digital watermarking. Taking human visual system characteristics into account fully...
Yinghui Pan
ICCV
2009
IEEE
1265views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
This paper addresses the problem of reconstructing the 3D motion trajectories of particle swarms using two temporally synchronized and geometrically calibrated cameras. The 3D traj...
Danping Zou, Qi Zhao, Hai Shan Wu, Yan Qiu Chen
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 9 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi