Pattern Recognition in Pedestrian Movement Trajectories
GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany
Colin Kuntzsch and Monika Sester
“Interpretation of pedestrian behavior in public, camera-supervised areas (e.g., train stations, sports stadiums) has become a popular research topic in the last years (see [1]). Today’s camera-based surveillance systems are often live monitored and analyzed by trained security staff members responsible for visually detecting restricted or security critical behavior of individuals or groups. Increasing security needs result in an increase of the number of cameras used for surveillance of public areas, both total as well as per responsible security staff member. Extrapolating this trend of providing a single security staff member with a continuously increasing amount of parallel video data leads to a point where the cognitive load needed to process all data exceeds human capabilities resulting in a lower overall-quality of visual inspection resulting in lower detection rate of security critical behavior.”
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