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CVPR
2008
IEEE
15 years 11 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
15 years 9 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
15 years 4 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»
15 years 4 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
15 years 4 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