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Through-Foliage Tracking with Airborne Optical Sectioning

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arxiv 2111.06959 v2 pith:JHFJHJK5 submitted 2021-11-12 cs.CV

Through-Foliage Tracking with Airborne Optical Sectioning

classification cs.CV
keywords trackingaerialdetectionimagesmovingairborneanomalyaperture
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic aperture aerial imaging. Our main finding is that color anomaly detection benefits significantly from image integration when compared to conventional raw images or video frames (on average 97% vs. 42% in precision in our field experiments). We demonstrate, that these two contributions can lead to the detection and tracking of moving people through densely occluding forest.

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