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Authors: Ugur Kart 1 ; Joni-Kristian Kämäräinen 1 ; Lixin Fan 2 and Moncef Gabbouj 1

Affiliations: 1 Tampere University of Technology, Finland ; 2 Nokia Technologies, Finland

Keyword(s): Tracking, Equirectangular, 360-video.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Tracking and Visual Navigation

Abstract: Equirectangular (360 spherical) panorama is the most widely adopted format to store and broadcast virtual reality (VR) videos. Equirectangular projection provides a new challenge to adapt existing computer vision methods for the novel input type. In this work, we introduce a new dataset which consists of high quality equirectangular videos captured using a high-end VR camera (Nokia OZO).We also provide the original wide angle (8 195) videos and densely annotated bounding boxes for evaluating object detectors and trackers. In this work, we introduce the dataset, compare state-of-the-art trackers for object tracking in equirectangular panorama and report detailed analysis of the failure cases which reveal potential factors to improve the existing visual object trackers for the new type of input.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kart, U.; Kämäräinen, J.; Fan, L. and Gabbouj, M. (2018). Evaluation of Visual Object Trackers on Equirectangular Panorama. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5; ISSN 2184-4321, pages 25-32. DOI: 10.5220/0006526200250032

@conference{visapp18,
author={Ugur Kart. and Joni{-}Kristian Kämäräinen. and Lixin Fan. and Moncef Gabbouj.},
title={Evaluation of Visual Object Trackers on Equirectangular Panorama},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006526200250032},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Evaluation of Visual Object Trackers on Equirectangular Panorama
SN - 978-989-758-290-5
IS - 2184-4321
AU - Kart, U.
AU - Kämäräinen, J.
AU - Fan, L.
AU - Gabbouj, M.
PY - 2018
SP - 25
EP - 32
DO - 10.5220/0006526200250032