Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control

Teemu Kääriäinen; Mikhail Mekhrengin; Timo Dönsberg

doi:10.1117/12.2632352

Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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.

Original language	English
Title of host publication	Infrared Technology and Applications XLVIII
Editors	Bjorn F. Andresen, Gabor F. Fulop, Lucy Zheng
Publisher	International Society for Optics and Photonics SPIE
ISBN (Electronic)	978-1-5106-5090-9
DOIs	https://doi.org/10.1117/12.2632352
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	Infrared Technology and Applications XLVIII 2022 - Virtual, Online Duration: 6 Jun 2022 → 12 Jun 2022

Publication series

Series	Proceedings of SPIE
Volume	12107
ISSN	0277-786X

Conference

Conference	Infrared Technology and Applications XLVIII 2022
City	Virtual, Online
Period	6/06/22 → 12/06/22

Funding

This project has received funding from the European Union’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. This project has received funding from the European Union'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.

Keywords

border control
hyperspectral
MEMS
near-infrared
spectroscopy
supercontinuum

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10.1117/12.2632352

Cite this

Kääriäinen, Teemu ; Mekhrengin, Mikhail ; Dönsberg, Timo. / Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control. Infrared Technology and Applications XLVIII. editor / Bjorn F. Andresen ; Gabor F. Fulop ; Lucy Zheng. International Society for Optics and Photonics SPIE, 2022. (Proceedings of SPIE, Vol. 12107).

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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",

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",

}

Kääriäinen, T , Mekhrengin, M & Dönsberg, T 2022, Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control. in BF Andresen, GF Fulop & L Zheng (eds), Infrared Technology and Applications XLVIII., 1210724, International Society for Optics and Photonics SPIE, Proceedings of SPIE, vol. 12107, Infrared Technology and Applications XLVIII 2022, Virtual, Online, 6/06/22. https://doi.org/10.1117/12.2632352

Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control. / Kääriäinen, Teemu ; Mekhrengin, Mikhail; Dönsberg, Timo.
Infrared Technology and Applications XLVIII. ed. / Bjorn F. Andresen; Gabor F. Fulop; Lucy Zheng. International Society for Optics and Photonics SPIE, 2022. 1210724 (Proceedings of SPIE, Vol. 12107).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control

AU - Kääriäinen, Teemu

AU - Mekhrengin, Mikhail

AU - Dönsberg, Timo

N1 - Funding Information: This project has received funding from the European Union’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.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - border control

KW - hyperspectral

KW - MEMS

KW - near-infrared

KW - spectroscopy

KW - supercontinuum

UR - https://www.scopus.com/pages/publications/85135831715

U2 - 10.1117/12.2632352

DO - 10.1117/12.2632352

M3 - Conference article in proceedings

AN - SCOPUS:85135831715

T3 - Proceedings of SPIE

BT - Infrared Technology and Applications XLVIII

A2 - Andresen, Bjorn F.

A2 - Fulop, Gabor F.

A2 - Zheng, Lucy

PB - International Society for Optics and Photonics SPIE

T2 - Infrared Technology and Applications XLVIII 2022

Y2 - 6 June 2022 through 12 June 2022

ER -

Detection and recognition of persons in snowy foliage using active hyperspectral sensing for border control

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