This paper presents new approaches in video vehicle detection. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to video vehicle detection tend to formulate computational methodologies on the single frame, spatio-temporal slices provide rich information along a larger spatial and temporal scale to improve the precision of vehicle detection. The experiment results demonstrate that the algorithm is real-time, accurate and robust.


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    Titel :

    Video Vehicle Detection Algorithm through Spatio-Temporal Slices Processing


    Beteiligte:
    Anan, Liu (Autor:in) / Zhaoxuan, Yang (Autor:in)


    Erscheinungsdatum :

    01.08.2006


    Format / Umfang :

    225533 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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