Through-Foliage Tracking with Airborne Optical Sectioning

Autor:	Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	FOS: Computer and information sciences Computer Vision and Pattern Recognition (cs.CV) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Science - Computer Vision and Pattern Recognition
Popis:	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. 9 Pages, 9 Figures, 1 Table and supplementary videos and material
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4758cfbf070a8310927877476f3e952b http://arxiv.org/abs/2111.06959 Zobrazit plný text záznamu