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Systematic evaluation of moving object detection methods for wide area motion imagery

 
: Sommer, L.

:
Volltext urn:nbn:de:0011-n-4175803 (1.4 MByte PDF)
MD5 Fingerprint: 68dd83c2bdd5ca75145222305bf221d0
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Erstellt am: 25.10.2016


Beyerer, Jürgen (Ed.) ; Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung -IOSB-, Karlsruhe; Karlsruhe Institute of Technology -KIT-, Lehrstuhl für Interaktive Echtzeitsysteme -IES-:
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2015. Proceedings : July, 19 to 26, Triberg-Nussbach, Germany
Karlsruhe: KIT Scientific Publishing, 2016 (Karlsruher Schriften zur Anthropomatik 24)
ISBN: 978-3-7315-0519-8
S.153-165
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2015, Triberg-Nussbach>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Wide area motion imagery (WAMI) facilitates the surveillance of several tens of square kilometers while using only one airborne sensor platform. Typical applications such as automatic behavior recognition, scene understanding, or traffic monitoring depend on precise multiple object tracking. Therefore, moving object detection is generally used as initial step. However, reliable moving object detection for WAMI is challenging as imprecise image alignment, low object resolution and a large number of moving objects lead to split, merged, and missing detections. In the context of this report, a detailed overview of existing methods for moving object detection proposed for WAMI is given. Ten existing methods as well as a novel combination of short-term background subtraction and suppression of image alignment errors by pixel neighborhood consideration are systematically evaluated on the WPAFB 2009 dataset that contains more than 160,000 ground truth detections. Parameters that contribute most to the performance of each method, the influence of related pre-processing steps as well as the impact of varying traffic density and scenery on the performance are discussed.

: http://publica.fraunhofer.de/dokumente/N-417580.html