@inproceedings{b327dfbcf6e0490f9822c8350429de49,
title = "Adaptive visual tracking using particle filter",
abstract = "The difficulty in visual tracking is how to estimate the object position quickly and reliably. Particle filter (PF) has proven successfully for nonlinear non-Gaussian estimate problems, but its degeneracy problem is very serious. For alleviating the degeneracy problem of the PF, the choice of proposal distribution plays an important role. Therefore in the context, the Galerkin's method is utilized to generate the proposal distribution of the PF. It not only overcomes the degeneracy problem of the common PF algorithm, but estimation precision is better. The article also proposes the integration of color cues and shape cues adaptively into the frame. Experimental results show the feasibility of the proposed algorithm in this paper.",
keywords = "Adaptive fuse, Galerkin's method, Model update, Object tracking, Particle filter",
author = "Gao, {Shi Wei} and Lei Guo and Liang Chen and Yong Yu",
year = "2008",
doi = "10.1109/ITNG.2008.9",
language = "英语",
isbn = "0769530990",
series = "Proceedings - International Conference on Information Technology: New Generations, ITNG 2008",
pages = "1117--1122",
booktitle = "Proceedings - International Conference on Information Technology",
note = "International Conference on Information Technology: New Generations, ITNG 2008 ; Conference date: 07-04-2008 Through 09-04-2008",
}