A MULTICAMERA FUSION FRAMEWORK FOR MULTIPLE OCCLUDING OBJECTS TRACKING IN INTELLIGENT MONITORING AND SPORT VIEWING APPLICATIONS (MP-P6)
Author(s) :
Luca Marchesotti (DIBE - University of Genoa, Italy)
Gianni Vernazza (DIBE - University of Genoa, Italy)
Carlo Regazzoni (DIBE - University of Genoa, Italy)
Abstract : The aim of this paper is to present a multi camera system for location estimation inspired to a model inherited from the Data Fusion domain: the Joint Directorate of Laboratories (JDL) model [1]. The problem specifically faced is the tracking of objects in two complementary applications: Intelligent Monitoring (Video Surveillance) and Sport Viewing (Football Players Tracking), where multiple occluding objects have to be successfully segmented and located using different features such as color, position and dynamics.

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