Proceedings of the 2015 International Symposium on Computers & Informatics

An Improved Algorithm for Moving Object Tracking

Authors
Qiufen Yang
Corresponding Author
Qiufen Yang
Available Online January 2015.
DOI
10.2991/isci-15.2015.249How to use a DOI?
Keywords
Object tacking; Sparse representation; Incremental learning; Appearance change
Abstract

When appearance variation of object, partial occlusion or illumination change in object images occurs, most existing tracking approaches fail to track the target effectively. To deal with the problem, this paper proposes a robust visual tracking method based on sparse representation.To make the observation model more robust and reduce the requirement of storage space, the incremental learning algorithm is used to update the target templates. Experimental results demonstrate that in case of object deformation, partial occlusion and illumination change, the proposed visual tracking algorithm can still maintain better tracking accuracy and robustness

Copyright
© 2015, 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 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-56-1
ISSN
2352-538X
DOI
10.2991/isci-15.2015.249How to use a DOI?
Copyright
© 2015, 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  - Qiufen Yang
PY  - 2015/01
DA  - 2015/01
TI  - An Improved Algorithm for Moving Object Tracking
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1891
EP  - 1897
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.249
DO  - 10.2991/isci-15.2015.249
ID  - Yang2015/01
ER  -