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...
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 ...
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...
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...