Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Pedestrian Tracking Based on Improved Particle Filter Under Complex Background

Authors
Yu Fu, Xiang Long
Corresponding Author
Yu Fu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.191How to use a DOI?
Keywords
component, Particle filter,Color feature,Shape feature,Joint similarity (key words)
Abstract

When tracking a moving human target,the traditional particle filter algorithm based on color characteristic can't get accurate results in situations like complicated background or frequent brightness change.Due to the problem, this paper put forward a particle filter algorithm based on combination of color characteristics and shape features of the target.Firstly, fusing the above-mentioned two features into the particle filter frame to calculate the particle weights and achieve the human tracking goal through image sequences . The experimental results show that the algorithm can improve the traditional tracking algorithms based on single color feature limitations.And greatly improves the accuracy and effectiveness of the human tracking under complex background.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.191How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Fu
AU  - Xiang Long
PY  - 2014/05
DA  - 2014/05
TI  - Pedestrian Tracking Based on Improved Particle Filter Under Complex Background
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 792
EP  - 797
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.191
DO  - https://doi.org/10.2991/iccia.2012.191
ID  - Fu2014/05
ER  -