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210512 ||| eng |
| 020 |
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|a 1000044922
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| 020 |
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|a 9783731503200
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| 100 |
1 |
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|a Teutsch, Michael
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| 245 |
0 |
0 |
|a Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2014
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| 300 |
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|a 1 electronic resource (XI, 215 p. p.)
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| 653 |
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|a Object Detection
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| 653 |
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|a Objektdetektion
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| 653 |
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|a MultiobjekttrackingAutomatic Video Surveillance
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| 653 |
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|a Bewegungsdetektion bei bewegter Kamera
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| 653 |
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|a Multiple Object Tracking
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| 653 |
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|a Automatische Videoüberwachung
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| 653 |
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|a Independent Motion Detection
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| 653 |
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|a Track-Before-Detect
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
0 |
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|a 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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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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| 028 |
5 |
0 |
|a 10.5445/KSP/1000044922
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/54015
|z DOAB: description of the publication
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| 856 |
4 |
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|u https://www.ksp.kit.edu/9783731503200
|7 0
|x Verlag
|3 Volltext
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| 520 |
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|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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