This paper presents a comparative analysis of different pedestrian dataset characteristics. The main goal of the research is to determine what characteristics are desirable for improved training and validation of pedestrian detectors and classifiers. The work focuses on those aspects of the dataset which affect classification success using the most common boosting methods.


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    Titel :

    A new pedestrian dataset for supervised learning


    Beteiligte:
    Overett, Gary (Autor:in) / Petersson, Lars (Autor:in) / Brewer, Nathan (Autor:in) / Andersson, Lars (Autor:in) / Pettersson, Niklas (Autor:in)


    Erscheinungsdatum :

    2008-06-01


    Format / Umfang :

    476868 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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