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CVPR
2008
IEEE
14 years 9 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
ICIAP
2005
ACM
14 years 7 months ago
Scatter Search Particle Filter for 2D Real-Time Hands and Face Tracking
This paper presents the scatter search particle filter (SSPF) algorithm and its application to real-time hands and face tracking. SSPF combines sequential Monte Carlo (particle fil...
Antonio S. Montemayor, Juan José Pantrigo, ...
ICASSP
2008
IEEE
14 years 1 months ago
Parameterized design framework for hardware implementation of particle filters
Particle filtering methods provide powerful techniques for solving non-linear state-estimation problems, and are applied to a variety of application areas in signal processing. Be...
Sankalita Saha, Neal K. Bambha, Shuvra S. Bhattach...
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 1 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ACCV
2009
Springer
14 years 1 months ago
A Smarter Particle Filter
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank