Evaluation of Visual Object Trackers on Equirectangular Panorama

Ugur Kart, Joni-Kristian Kämäräinen, Lixin Fan, Moncef Gabbouj

2018

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.

Paper Citation

in Harvard Style

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 (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 25-32. DOI: 10.5220/0006526200250032

in Bibtex Style

@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 (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006526200250032},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

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