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24 October 2016 Near-infrared high-resolution real-time omnidirectional imaging platform for drone detection
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Recent technological advancements in hardware systems have made higher quality cameras. State of the art panoramic systems use them to produce videos with a resolution of 9000 x 2400 pixels at a rate of 30 frames per second (fps).1 Many modern applications use object tracking to determine the speed and the path taken by each object moving through a scene. The detection requires detailed pixel analysis between two frames. In fields like surveillance systems or crowd analysis, this must be achieved in real time.2

In this paper, we focus on the system-level design of multi-camera sensor acquiring near-infrared (NIR) spectrum and its ability to detect mini-UAVs in a representative rural Swiss environment. The presented results show the UAV detection from the trial that we conducted during a field trial in August 2015.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladan Popovic, Beat Ott, Peter Wellig, and Yusuf Leblebici "Near-infrared high-resolution real-time omnidirectional imaging platform for drone detection", Proc. SPIE 9997, Target and Background Signatures II, 999706 (24 October 2016);

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