Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

A New Discriminative Tracking Method Applied in Multi-rotor Unmanned Aircraft

Authors
Gang Wu, Xiao-Qin Zeng
Corresponding Author
Gang Wu
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.50How to use a DOI?
Keywords
object tracking; online classifier; sparse representation; Particle filter; dictionary learning
Abstract
Aiming at difficulties for vehicle tracking on the specific scenes such as fast motion, rotation, drastic illumination and scale change, a new discriminative tracking algorithm for moving vehicles is proposed in this paper. We incorporate low-rank sparse representation and dictionary learning with the classical particle filter algorithm. Based on unmanned multi-rotor aircraft, we apply the enhanced algorithm to track selected vehicle in the urban road, demonstrate the performance of our method on the process of vehicle tracking in above scenes. The proposed approach is different from conventional discriminative tracking algorithm. Compared with related methods, experimental results show that the proposed algorithm improves the synthesized efficiency of tracking process, the experiments based on standard testing videos demonstrate that tracking successful rate is significantly improved.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.50How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Gang Wu
AU  - Xiao-Qin Zeng
PY  - 2016/12
DA  - 2016/12
TI  - A New Discriminative Tracking Method Applied in Multi-rotor Unmanned Aircraft
PB  - Atlantis Press
SP  - 231
EP  - 235
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.50
DO  - https://doi.org/10.2991/icwcsn-16.2017.50
ID  - Wu2016/12
ER  -