LEADER 02002nam  2200397z- 450 
001 9910347046003321
005 20231214133457.0
010   $a1000044922
035   $a(CKB)4920000000102056
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54015
035   $a(EXLCZ)994920000000102056
100   $a20202102d2014      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMoving Object Detection and Segmentation for Remote Aerial Video Surveillance
210   $cKIT Scientific Publishing$d2014
215   $a1 electronic resource (XI, 215 p. p.)
225 1 $aKarlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
311   $a3-7315-0320-4 
330   $aUnmanned 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.
610   $aAutomatische Videoüberwachung
610   $aObject Detection
610   $aIndependent Motion Detection
610   $aBewegungsdetektion bei bewegter Kamera
610   $aMultiobjekttrackingAutomatic Video Surveillance
610   $aMultiple Object Tracking
610   $aTrack-Before-Detect
610   $aObjektdetektion
700   $aTeutsch$b Michael$4auth$01278505
906   $aBOOK
912   $a9910347046003321
996   $aMoving Object Detection and Segmentation for Remote Aerial Video Surveillance$93027668
997   $aUNINA