Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

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 det...

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Bibliographic Details
Main Author: Teutsch, Michael (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2014
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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520 |a 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. 
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546 |a English 
653 |a Automatische Videoüberwachung 
653 |a Object Detection 
653 |a Independent Motion Detection 
653 |a Bewegungsdetektion bei bewegter Kamera 
653 |a MultiobjekttrackingAutomatic Video Surveillance 
653 |a Multiple Object Tracking 
653 |a Track-Before-Detect 
653 |a Objektdetektion 
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