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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    Title :

    Object tracking based on morphological elastic graph matching


    Contributors:
    Stamou, G.N. (author) / Nikolaidis, (author) / Pitas, I. (author)


    Publication date :

    2005-01-01


    Size :

    608119 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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