Through-Foliage Tracking with Airborne Optical Sectioning

Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David Christian Schedl, Oliver Bimber

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Article number10.34133/2022/9812765
Pages (from-to)9812765
JournalJournal of Remote Sensing
Volume2002
DOIs
Publication statusPublished - 22 Apr 2022

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