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    Tracking people motion base don extended condensation algorithm

    TítuloTracking people motion base don extended condensation algorithm
    Tipo de publicaciónJournal Article
    Año de publicación2013
    AutoresGarcia, J, Gardel, A, Bravo, I, Lazaro, JL
    Idioma de publicaciónEnglish
    Revista académicaIEEE Transactions on Systems, Man and Cybernetics
    Volumen43
    Número3
    Páginas606-618
    Fecha de publicación05/2013
    Lugar de publicaciónEEUU
    EditorialIEEE Xplore
    Rank in categoryQ1
    JCR CategoryQ1
    Palabras claveExtendend condensation algorithm, motion detection
    JCR Impact Factor2,123
    ISSN2168-2216
    URLwww.ieeexplore.ieee.org
    DOI10.1109/TSMCA.2012.2220540
    Resumen

    People counting systems are widely used in surveillance applications. In this paper, we present a solution to bidirectional people counting based on information provided by an overhead stereo system. Four fundamental aspects can be identified: the detection and tracking of human motion using an extended particle filter, the use of 3-D measurements in order to increase the system's robustness and a modified K-means algorithm to provide the number of hypotheses at each time, and, finally, trajectory generation to facilitate people counting in different directions. The proposed algorithm is designed to solve problems of occlusion, without counting objects such as shopping trolleys or bags. A processing ratio of around 30 frames/s is necessary in order to capture the real-time trajectory of people and obtain robust tracking results. We validated various test videos, achieving a hit rate between 95% and 99%, depending on the number of people crossing the counting area.

    AdjuntoTamaño
    2013_smc_06425497.pdf1.87 MB

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