An Improved Algorithm for Moving Object Tracking

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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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  -