A direct method to self-calibrate a surveillance camera by observing a walking pedestrian

Worapan Kusakunniran*, Hongdong Li, Jian Zhang

*Corresponding author for this work

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

    22 Citations (Scopus)

    Abstract

    Recent efforts show that it is possible to calibrate a surveillance camera simply from observing a walking human. This procedure can be seen as a special application of the camera self-calibration technique. Several methods have been proposed along this line, but most of them have certain restrictions, such as require the human walking at a constant speed, or require two orthogonal lines marked on the ground, etc. This has hindered their applicability. In this paper we propose a new method that removes most of these restrictions. By clever uses of the cross-ratio relationship in projective geometry, our method shows it is possible to directly estimate a full 3 x 4 camera projection matrix without first decomposing it into physical parameters like focal-length, optical center, etc. Extensive experiments on real data show our algorithm performs well in real situations.

    Original languageEnglish
    Title of host publicationDICTA 2009 - Digital Image Computing
    Subtitle of host publicationTechniques and Applications
    Pages250-255
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    EventDigital Image Computing: Techniques and Applications, DICTA 2009 - Melbourne, VIC, Australia
    Duration: 1 Dec 20093 Dec 2009

    Publication series

    NameDICTA 2009 - Digital Image Computing: Techniques and Applications

    Conference

    ConferenceDigital Image Computing: Techniques and Applications, DICTA 2009
    Country/TerritoryAustralia
    CityMelbourne, VIC
    Period1/12/093/12/09

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