This paper proposes a pedestrian detection and direction estimation method by the cascade approach with multiclassifiers using the Feature Interaction Descriptor (FIND). FIND describes the high-level properties of an object's appearance by computing pair-wise interactions of adjacent regionlevel features. To perform efficient and accurate detection using FIND, we employ the cascade approach with multiclassifiers specialized in both the direction of a pedestrian and the distance of the pedestrian from a camera. Using this framework, the developed system can improve the detection performance and provide information of the direction of a pedestrian simultaneously. The experimental results show that superior detection performance and direction estimation results were obtained by our method.


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    Titel :

    Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor


    Beteiligte:
    Goto, K. (Autor:in) / Kidono, K. (Autor:in) / Kimura, Y. (Autor:in) / Naito, T. (Autor:in)


    Erscheinungsdatum :

    01.06.2011


    Format / Umfang :

    883479 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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