Pedestrian Tracking Based on Improved Particle Filter Under Complex Background

DOI

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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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  - 10.2991/iccia.2012.191
ID  - Fu2014/05
ER  -