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Moving object detection and segmentation for remote aerial video surveillance

: Teutsch, Michael
: Beyerer, Jürgen

Fulltext urn:nbn:de:0072-449223 (18 MByte PDF)
MD5 Fingerprint: 588f3e54d4101679f2c464902c6d4521
Created on: 24.3.2015


Karlsruhe: KIT Scientific Publishing, 2015, XI, 215 pp.
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2014
Karlsruher Schriften zur Anthropomatik, 18
ISBN: 978-3-7315-0320-0
Dissertation, Electronic Publication
Fraunhofer IOSB ()

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.