Through-Foliage Tracking with Airborne Optical Sectioning

作     者：Rakesh John Amala Arokia Nathan Indrajit Kurmi David C.Schedl Oliver Bimber 

作者机构：Institute of Computer GraphicsJohannes Kepler University LinzLinzAustria University of Applied Sciences Upper AustriaHagenbergAustria 

出 版 物：《Journal of Remote Sensing》 (国际遥感学报（英文）)

年 卷 期：2022年第2022卷第1期

页      面：234-243页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0703[理学-化学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This research was funded by the Austrian Science Fund(FWF)under grant number P 32185-NBL and by the State of Upper Austria and the Austrian Federal Ministry of Education Science and Research via the LIT–Linz Institute of Technology under grant number LIT-2019-8-SEE-114 

主　　题：frames moving image 

摘      要：Detecting and tracking moving targets through foliage is difficult,and for many cases even impossible in regular aerial images and *** present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic aperture aerial *** 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.