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    Embedded vision modules for tracking and counting people

    TítuloEmbedded vision modules for tracking and counting people
    Tipo de publicaciónJournal Article
    Año de publicación2009
    AutoresGardel, A, Lazaro, JL, Jimenez, P, Bravo, I
    Idioma de publicaciónEnglish
    Revista académicaIEEE Transactions on Instrumentation and Measurement
    Volumen58
    Número9
    Páginas3004 - 3011
    Fecha de publicación09/2009
    Lugar de publicaciónEEUU
    EditorialIEEE
    ISSN0018-9456
    JCR Impact Factor0.978
    Rank in category34/56
    JCR CategoryInstruments & Instrumentation
    DOI10.1109/TIM.2009.2016809
    Resumen

    This paper shows the algorithm implementation for a field-programmable gate array (FPGA)-based design for people counting using a low-level head-detection method. The hardware (HW) implementation on an FPGA allows the capture and online processing in real time on the same chip. Different annular patterns are used to process in parallel the image and detect heads of different sizes. Preprocessing and edge extraction are also made using reconfigurable HW. The developed system exploits HW processing, as the vision algorithm has been modified and tuned for HW implementation. It uses minimal area resources of a Spartan3 (1.5 Mgates), and its real-time performance is comparable with more sophisticated algorithms while utilizing very low cost circuits.