@inproceedings{f68686c88df2489fb06f96524e892f19,
title = "Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control",
abstract = "We demonstrate the use of an active hyperspectral sensor for detection and recognition of persons in snowy foliage. The sensor employs a tunable broadband supercontinuum light source for remote spectrum measurement. An algorithm based on support vector machines is used in real-time to classify the object, from which the supercontinuum laser pulse scattered. We present results for person detection during simulated illegal border cross activities in snowy terrain.",
keywords = "border control, hyperspectral, MEMS, near-infrared, spectroscopy, supercontinuum",
author = "Teemu K{\"a}{\"a}ri{\"a}inen and Mikhail Mekhrengin and Timo D{\"o}nsberg",
note = "Funding Information: This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 787021. This research is part of the Academy of Finland Flagship Programme, Photonics Research and Innovation (PREIN), decision 320168. ; Infrared Technology and Applications XLVIII 2022 ; Conference date: 06-06-2022 Through 12-06-2022",
year = "2022",
doi = "10.1117/12.2632352",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "International Society for Optics and Photonics SPIE",
editor = "Andresen, {Bjorn F.} and Fulop, {Gabor F.} and Lucy Zheng",
booktitle = "Infrared Technology and Applications XLVIII",
address = "United States",
}