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• W1561039388 abstract "This manuscript presents an efficient approach to map pedestrian surveillance footage to an aerial view for global assessment of features. The analysis of the footages relies on low level computer vision and enable real-time surveillance. While we neglect object tracking, we introduce cumulative grids on top view scene flow visualization to highlight situations of interest in the footage. Our approach is tested on multiview footage both from RGB cameras and, for the first time in the field, on RGB-D-sensors." @default.
• W1561039388 created "2016-06-24" @default.
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• W1561039388 date "2014-02-06" @default.
• W1561039388 modified "2023-09-27" @default.
• W1561039388 title "Real-time Pedestrian Surveillance with Top View Cumulative Grids." @default.
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• W1561039388 hasPublicationYear "2014" @default.
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