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Authors: Felipe A. Pinagé 1 ; José Reginaldo H. Cavalho 1 and José P. Queiroz Neto 2

Affiliations: 1 Institute of Computing and Federal University of Amazonas, Brazil ; 2 Campus Manaus Industrial District and Federal Institute of Amazonas, Brazil

Keyword(s): Natural Landmark Tracking, Features Supression, Wavelet Transform, Unmanned Aerials Vehicle.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Tracking and Visual Navigation

Abstract: Field application of unmanned aerials vehicles (UAVs) have increased in the last decade. An example of difficult task is long endurance missions over rain forest, due to the uniform pattern of the ground. In this scenario an embedded vision system plays a critical role. This paper presents a SIFT adaptation towards a vision system able to track landmarks in forest areas, using wavelet transform to suppression of nonrelevant features, in order to support UASs navigation. Preliminary results demonstrated that this method can correctly track a sequence of natural landmarks in a feasible time for online applications.

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Paper citation in several formats:
Pinagé, F. A., Cavalho, J. R. H. and Neto, J. P. Q. (2013). Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 416-419. DOI: 10.5220/0004304304160419

@conference{visapp13,
author={Felipe A. Pinagé and José Reginaldo H. Cavalho and José P. Queiroz Neto},
title={Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={416-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004304304160419},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Visual-based Natural Landmark Tracking Method to Support UAV Navigation over Rain Forest Areas
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Pinagé, F.
AU - Cavalho, J.
AU - Neto, J.
PY - 2013
SP - 416
EP - 419
DO - 10.5220/0004304304160419
PB - SciTePress

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