The face of an imposter: Computer Vision for Deception Detection Research in Progress

Aaron C. Elkins, Yijia Sun, Stefanos Zafeiriou, Maja Pantic

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    Abstract

    Using video analyzed from a novel deception experiment, this paper introduces computer vision research in progress that addresses two critical components to computational modeling of deceptive behavior: 1) individual nonverbal behavior differences, and 2) deceptive ground truth. Video interviews analyzed for this research were participants recruited as potential hooligans (extreme sports fans) who lied about support for their rival team. From these participants, we will process and extract features representing their faces that will be submitted to slow feature analysis. From this analysis we will identify each person’s unique facial expression and behaviors, and look for systemic variation between truth and deception.
    Original languageEnglish
    Title of host publicationProceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium
    Subtitle of host publicationJanuary 2013
    EditorsMatthew Jensen, Thomas Meservy, Judee Burgoon, Jay Nunamaker
    Number of pages5
    Publication statusPublished - 8 Jan 2013
    EventHICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013 - Maui, United States
    Duration: 7 Jan 20138 Jan 2013

    Conference

    ConferenceHICSS-46 Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium 2013
    CountryUnited States
    CityMaui
    Period7/01/138/01/13

    Keywords

    • EWI-24537
    • METIS-310007
    • IR-95218
    • HMI-HF: Human Factors

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