Prolific sensing devices like mobile phones and video cameras can sense electronic and visual information, respectively, which can help detect and verify a person. Accurate detection and verification of a person's identity from this sensed data is important for enabling applications such as surveillance and e-health. This is challenging due to sensed data heterogeneity, measurement noise, and the prohibitive cost of specialized equipment. This paper proposes R-Focus, a rotating platform with electronic and visual sensors that can detect and verify a person of interest in an area. R-Focus performs electronic and visual data collection and rotates based on the collected data. R-Focus uses the electronic identity information for a person to gather visual identity information for the person, who is verified and tracked. We implement R-Focus on commercial off-the-shelf hardware and software. Our experimental evaluation shows R-Focus's promise for detecting and verifying a person of interest.


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    Titel :

    R-Focus: A Rotating Platform for Human Detection and Verification Using Electronic and Visual Sensors


    Beteiligte:
    Yang, Fan (Autor:in) / Xuan, Yiran (Autor:in) / Ding, Sihao (Autor:in) / Champion, Adam C. (Autor:in) / Zheng, Yuan F. (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    13 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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