This thesis intensively focuses on the development of a robust real-time pedestrian candidate detection algorithm which can be integrated into an on-vehicle real-time vision based pedestrian detection unit. A pedestrian candidate detection algorithm must detect pedestrians as a subset of all obstacles in front of the vehicle. In this thesis, the detection step is performed by an obstacle detection algorithm which satisfies the requirements of pedestrian detection (i.e. pedestrians can be considered as a subset belonging to an obstacles set). For an alternative warning system application, the detection step would also have to yield information about possible 'targets' that are relevant for such applications.


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    Titel :

    Real-time vision based pedestrian detection


    Weitere Titelangaben:

    Echtzeit-Fußgängererkennung auf der Basis eines Vision-Systems


    Beteiligte:
    Ma, Guanglin (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2010


    Format / Umfang :

    148 Seiten, Bilder, Tabellen, 82 Quellen



    Medientyp :

    Hochschulschrift


    Format :

    Print


    Sprache :

    Englisch





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