This paper presents a methodology for tracking persons and identifying two-person interactions in outdoor image sequences. By locating and tracking two persons over consecutive frames of monocular grayscale image sequences, we classify their interactions into several classes. Some of the interaction classes are: one person leaves another stationary person; two persons meet coming from different directions; and one stationary person starts following another walking person. We use side-view image sequences obtained by a fixed camera. In these image sequences the subjects are frequently occluded and move perpendicular to the direction of the camera. We present results on tracking of persons and their interactions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Tracking and recognizing two-person interactions in outdoor image sequences


    Beteiligte:
    Sato, K. (Autor:in) / Aggarwal, J.K. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    724172 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Tracking and Recognizing Two-Person Interactions in Outdoor Image Sequences

    Sato, K. / Aggarwal, J. K. / IEEE Computer Society | British Library Conference Proceedings | 2001


    Topological map learning from outdoor image sequences

    He, X. / Zemel, R. S. / Mnih, V. | British Library Online Contents | 2006


    Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion

    Black, M. J. / Yacoob, Y. | British Library Online Contents | 1997


    Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning based Method for Quadcopters

    Dursun, Hidayet Ersin / Guven, Enes Can / Avci, Batuhan et al. | IEEE | 2023


    Region tracking through image sequences

    Bascle, B. / Deriche, R. | IEEE | 1995