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Proceedings Paper

Detection and classification of moving objects from UAVs with optical sensors
Author(s): Michael Teutsch; Wolfgang Krüger; Norbert Heinze
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Paper Abstract

Small and medium sized UAVs like German LUNA have long endurance and define in combination with sophisticated image exploitation algorithms a very cost efficient platform for surveillance. At Fraunhofer IOSB, we have developed the video exploitation system ABUL with the target to meet the demands of small and medium sized UAVs. Several image exploitation algorithms such as multi-resolution, super-resolution, image stabilization, geocoded mosaiking and stereo-images/3D-models have been implemented and are used with several UAV-systems. Among these algorithms is the moving target detection with compensation of sensor motion. Moving objects are of major interest during surveillance missions, but due to movement of the sensor on the UAV and small object size in the images, it is a challenging task to develop reliable detection algorithms under the constraint of real-time demands on limited hardware resources. Based on compensation of sensor motion by fast and robust estimation of geometric transformations between images, independent motion is detected relatively to the static background. From independent motion cues, regions of interest (bounding-boxes) are generated and used as initial object hypotheses. A novel classification module is introduced to perform an appearance-based analysis of the hypotheses. Various texture features are extracted and evaluated automatically for achieving a good feature selection to successfully classify vehicles and people.

Paper Details

Date Published: 5 May 2011
PDF: 14 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501J (5 May 2011); doi: 10.1117/12.883102
Show Author Affiliations
Michael Teutsch, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Wolfgang Krüger, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Norbert Heinze, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)


Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)

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