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TCSV
2008
115views more  TCSV 2008»
9 years 1 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»
9 years 7 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle ļ¬ltering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
CVPR
2008
IEEE
10 years 3 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»
9 years 1 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»
9 years 8 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
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