Near-infrared high-resolution real-time omnidirectional imaging platform for drone detection

Vladan Popovic; Beat Ott; Peter Wellig; Yusuf Leblebici

doi:10.1117/12.2241322

24 October 2016 Near-infrared high-resolution real-time omnidirectional imaging platform for drone detection

Vladan Popovic, Beat Ott, Peter Wellig, Yusuf Leblebici

Proceedings Volume 9997, Target and Background Signatures II; 999706 (2016) https://doi.org/10.1117/12.2241322
Event: SPIE Security + Defence, 2016, Edinburgh, United Kingdom

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2241322

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