Evaluation of visual object trackers on equirectangular panorama

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    4 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationVISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
    PublisherSCITEPRESS
    Pages25-32
    Number of pages8
    Volume5
    ISBN (Electronic)9789897582905
    DOIs
    Publication statusPublished - 2018
    Publication typeA4 Article in conference proceedings
    EventINTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceINTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS
    Period1/01/00 → …

    Keywords

    • 360◦-video
    • Equirectangular
    • Tracking

    Publication forum classification

    • Publication forum level 0

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Computer Graphics and Computer-Aided Design
    • Artificial Intelligence

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