Online Identification of Primary Social Groups

Abstract:


Online group identification is a challenging task, due to the inherent dynamic nature of groups. In this paper, a novel framework is proposed that combines the individual trajectories produced by a tracker along with a prediction of their evolution, in order to identify existing groups. In addition to the widely known criteria used in the literature for group identification, we present a novel one, which exploits the motion pattern of the trajectories. The proposed framework utilizes the past, present and predicted states of groups within a scene, to provide robust online group identification. Experiments were conducted to provide evidence of the effectiveness of the proposed method with promising results.


  • D. Matsiki, A. Dimou, P. Daras, "Online Identification of Primary Social Groups", 20th International Conference on Multimedia Modeling (MMM 2014), Dublin, Ireland, 6-10 Jan 2014

  • Full document available here.
    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras@iti.gr