Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation

Object tracking Based on Local Structure Orientation

Authors
Ruxi Xiang, Xifang Zhu, Feng Wu, Qinquan Xu
Corresponding Author
Ruxi Xiang
Available Online November 2015.
DOI
10.2991/icectt-15.2015.89How to use a DOI?
Keywords
Particle filter; SPBRLSO; visual tracking; spatiogram
Abstract

In order to solve the poor robustness resulted from the pose variances, occlusion or clutter in some challenging videos, we propose a robust particle filter tracking method based on a new similarity measure SPBRLSO (spatio-bin-ratio based on the local structure orientation). First, the object tracked is represented by a histogram of the local structure orientation, and then the observation likelihood function is constructed using a spatial-bin-ratio similarity. Finally, the tracker is formed by the he observation likelihood function in the frame of the traditional particle filter tracking. Many experimental results show that the proposed method is able to robustly track the objects in visible videos and infrared videos from some challenging videos including pose variances, occlusion or clutter. Furthermore, our tracking performance is superior to other tracking methods including the VTD tracker, conventional particle filter tracker and the spatiogram tracker.

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 Conference on Electromechanical Control Technology and Transportation
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-124-7
ISSN
2352-5401
DOI
10.2991/icectt-15.2015.89How 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  - Ruxi Xiang
AU  - Xifang Zhu
AU  - Feng Wu
AU  - Qinquan Xu
PY  - 2015/11
DA  - 2015/11
TI  - Object tracking Based on Local Structure Orientation
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 466
EP  - 470
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.89
DO  - 10.2991/icectt-15.2015.89
ID  - Xiang2015/11
ER  -