An appearance-based eigenspace method for classifying moving cars is introduced in this paper A car can be classified by observing any of its partial view, using this method. We present a new algorithm called eigendimension matching instead of calculating euclidean distance between eigensubspaces for the identification and classification of moving cars. The proposed method is based on: the establishment of eigenspaces of a set of known car images, and comparing their eigendimensions to classify the unknown car or non-car images. Experimental results from the real-world data show the effectiveness of the proposed method.


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    Titel :

    Appearance-based Classification of Moving Cars by Eigendimension Matching


    Beteiligte:
    Rahman, M.M. (Autor:in) / Santhanam, A. (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    3698183 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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