This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called morphological elastic graph matching algorithm. When applied to faces, initialization of the tracking algorithm is performed by means of a novel face detection and facial feature extraction step. The obtained results show good performance in scenes with complex background. Comparison with an existing feature-based tracking method using measures based on ground truth data proves the superiority of the proposed method.


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    Titel :

    Object tracking based on morphological elastic graph matching


    Beteiligte:
    Stamou, G.N. (Autor:in) / Nikolaidis, (Autor:in) / Pitas, I. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    608119 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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