Person Identification by Gait Analysis and Photogrammetry

    Volume 50, Issue 1 (January 2005)

    ISSN: 0022-1198

    CODEN: JFSOAD

    Published Online: 1 January 2005

    Page Count: 7


    Vedel, J
    3D Photo, Aarhus,

    Lynnerup, N
    Institute of Forensic Medicine, University of Copenhagen,

    (Received 14 February 2004; accepted 17 July 2004)

    Abstract

    Surveillance images from a bank robbery were analyzed and compared with images of a suspect. Based on general bodily features, gait and anthropometric measurements, we were able to conclude that one of the perpetrators showed strong resemblance to the suspect. Both exhibited a gait characterized by hyperextension of the leg joints, and bodily measurements did not differ by more than 6 mm on average. The latter was quantified by photogrammetry: i.e., measuring by using images of the perpetrator as captured by surveillance cameras. Using the computer software Photomodeler Pro®, synchronous images from different cameras were compared and concurrent body features were identified. The program could then render the perpetrator as a three dimensional, high-precision, scalable and measurable object.


    Paper ID: JFS2004054

    DOI: 10.1520/JFS2004054

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    Author
    Title Person Identification by Gait Analysis and Photogrammetry
    Symposium , 0000-00-00
    Committee E30