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TCSV
2008
115views more  TCSV 2008»
13 years 4 months ago
Dynamic Proposal Variance and Optimal Particle Allocation in Particle Filtering for Video Tracking
Abstract--This paper presents a novel particle allocation approach to particle filtering which minimizes the total tracking distortion for a fixed number of particles over a video ...
Pan Pan, Dan Schonfeld
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle filtering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
CVPR
2008
IEEE
14 years 6 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 ...
TIP
2008
175views more  TIP 2008»
13 years 4 months ago
Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
Aswin C. Sankaranarayanan, Ankur Srivastava, Rama ...
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 10 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach