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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance



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Autore: Teutsch Michael Visualizza persona
Titolo: Moving Object Detection and Segmentation for Remote Aerial Video Surveillance Visualizza cluster
Pubblicazione: KIT Scientific Publishing, 2014
Descrizione fisica: 1 electronic resource (XI, 215 p. p.)
Soggetto non controllato: Automatische Videoüberwachung
Object Detection
Independent Motion Detection
Bewegungsdetektion bei bewegter Kamera
MultiobjekttrackingAutomatic Video Surveillance
Multiple Object Tracking
Track-Before-Detect
Objektdetektion
Sommario/riassunto: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.
Titolo autorizzato: Moving Object Detection and Segmentation for Remote Aerial Video Surveillance  Visualizza cluster
ISBN: 1000044922
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910347046003321
Lo trovi qui: Univ. Federico II
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