In gesture and sign language video sequences, hand motion tends to be rapid, and hands frequently appear in front of each other or in front of the face. Thus, hand location is often ambiguous, and naive color-based hand tracking is insufficient. To improve tracking accuracy, some methods employ a prediction-update framework, but such methods require careful initialization of model parameters, and tend to drift and lose track in extended sequences. In this paper, a temporal filtering framework for hand tracking is proposed that can initialize and reset itself without human intervention. In each frame, simple features like color and motion residue are exploited to identify multiple candidate hand locations. The temporal filter then uses the Viterbi algorithm to select among the candidates from frame to frame. The resulting tracking system can automatically identify video trajectories of unambiguous hand motion, and detect frames where tracking becomes ambiguous because of occlusions or overlaps. Experiments on video sequences of several hundred frames in duration demonstrate the system's ability to track hands robustly, to detect and handle tracking ambiguities, and to extract the trajectories of unambiguous hand motion.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automatic 2D Hand Tracking in Video Sequences


    Beteiligte:
    Yuan, Quan (Autor:in) / Sclaroff, Stan (Autor:in) / Athitsos, Vassilis (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    269655 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Towards Robust Automatic Segmentation and Tracking Analysis of Objects in Video Sequences

    Al-Hamadi, A. / Niese, R. / Michaelis, B. et al. | British Library Conference Proceedings | 2003



    Moving object segmentation in video sequences by user interaction and automatic object tracking

    Kim, M. / Jeon, J. G. / Kwak, J. S. et al. | British Library Online Contents | 2001


    Tracking Groups of Pedestrians in Video Sequences

    Marques, Jorge S. / Jorge, Pedro M. / Abrantes, Arnaldo J. et al. | IEEE | 2003


    Tracking and Modeling People in Video Sequences

    Plankers, R. / Fua, P. | British Library Online Contents | 2001