Real-time people counting using IR-UWB radar

Kareeb Hasan; Malikeh Pour Ebrahim; Mehmet Rasit Yuce

doi:10.1007/978-3-030-95593-9_6

Real-time people counting using IR-UWB radar

Kareeb Hasan, Malikeh Pour Ebrahim, Mehmet Rasit Yuce

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

COVID-19 pandemic has introduced social distance regulations which are crucial to be followed by. In order to maintain proper social distancing, it is critical to regulate the number of people in a closed space. In this paper, we propose a people counting system based on Impulse Radio Ultra-Wideband radars for counting people walking through a doorway. The system uses two IR-UWB radars placed horizontally apart to create a lag effect when someone walks by the radars. This enables detection of movement’s direction and subsequently, determination of the number of people in a room. The system proposed can be used for people counting in real-time and also on saved data which offers flexibility for real world applications. Several tests were conducted which shows the accuracy rate of system to be around 90%, validating the system. Contrary to conventional vision based people counting system, the proposed system is not limited by environmental factors such as light and also is privacy oriented.

Original language	English
Title of host publication	Body Area Networks, Smart IoT and Big Data for Intelligent Health Management
Subtitle of host publication	16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings
Editors	Masood Ur Rehman, Ahmed Zoha
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	63-70
Number of pages	8
ISBN (Electronic)	9783030955939
ISBN (Print)	9783030955922
DOIs	https://doi.org/10.1007/978-3-030-95593-9_6
Publication status	Published - 2022
Event	International Conference on Body Area Networks 2021 - Online, United States of America Duration: 25 Dec 2021 → 26 Dec 2021 Conference number: 16th https://link.springer.com/book/10.1007/978-3-030-95593-9 (Proceedings)

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publisher	Springer
Volume	420 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	International Conference on Body Area Networks 2021
Abbreviated title	BODYNETS 2021
Country/Territory	United States of America
Period	25/12/21 → 26/12/21
Internet address	https://link.springer.com/book/10.1007/978-3-030-95593-9 (Proceedings)

Keywords

COVID-19
Occupancy counter
People counting

Access to Document

10.1007/978-3-030-95593-9_6

Cite this

Hasan, K., Pour Ebrahim, M., & Yuce, M. R. (2022). Real-time people counting using IR-UWB radar. In M. Ur Rehman, & A. Zoha (Eds.), Body Area Networks, Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings (pp. 63-70). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 420 LNICST). Springer. https://doi.org/10.1007/978-3-030-95593-9_6

Hasan, Kareeb ; Pour Ebrahim, Malikeh ; Yuce, Mehmet Rasit. / Real-time people counting using IR-UWB radar. Body Area Networks, Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings. editor / Masood Ur Rehman ; Ahmed Zoha. Cham Switzerland : Springer, 2022. pp. 63-70 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Real-time people counting using IR-UWB radar",

abstract = "COVID-19 pandemic has introduced social distance regulations which are crucial to be followed by. In order to maintain proper social distancing, it is critical to regulate the number of people in a closed space. In this paper, we propose a people counting system based on Impulse Radio Ultra-Wideband radars for counting people walking through a doorway. The system uses two IR-UWB radars placed horizontally apart to create a lag effect when someone walks by the radars. This enables detection of movement{\textquoteright}s direction and subsequently, determination of the number of people in a room. The system proposed can be used for people counting in real-time and also on saved data which offers flexibility for real world applications. Several tests were conducted which shows the accuracy rate of system to be around 90%, validating the system. Contrary to conventional vision based people counting system, the proposed system is not limited by environmental factors such as light and also is privacy oriented.",

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doi = "10.1007/978-3-030-95593-9_6",

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Hasan, K, Pour Ebrahim, M & Yuce, MR 2022, Real-time people counting using IR-UWB radar. in M Ur Rehman & A Zoha (eds), Body Area Networks, Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 420 LNICST, Springer, Cham Switzerland, pp. 63-70, International Conference on Body Area Networks 2021, United States of America, 25/12/21. https://doi.org/10.1007/978-3-030-95593-9_6

Real-time people counting using IR-UWB radar. / Hasan, Kareeb; Pour Ebrahim, Malikeh; Yuce, Mehmet Rasit.

Body Area Networks, Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings. ed. / Masood Ur Rehman; Ahmed Zoha. Cham Switzerland : Springer, 2022. p. 63-70 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 420 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Real-time people counting using IR-UWB radar

AU - Hasan, Kareeb

AU - Pour Ebrahim, Malikeh

AU - Yuce, Mehmet Rasit

N1 - Conference code: 16th

PY - 2022

Y1 - 2022

N2 - COVID-19 pandemic has introduced social distance regulations which are crucial to be followed by. In order to maintain proper social distancing, it is critical to regulate the number of people in a closed space. In this paper, we propose a people counting system based on Impulse Radio Ultra-Wideband radars for counting people walking through a doorway. The system uses two IR-UWB radars placed horizontally apart to create a lag effect when someone walks by the radars. This enables detection of movement’s direction and subsequently, determination of the number of people in a room. The system proposed can be used for people counting in real-time and also on saved data which offers flexibility for real world applications. Several tests were conducted which shows the accuracy rate of system to be around 90%, validating the system. Contrary to conventional vision based people counting system, the proposed system is not limited by environmental factors such as light and also is privacy oriented.

AB - COVID-19 pandemic has introduced social distance regulations which are crucial to be followed by. In order to maintain proper social distancing, it is critical to regulate the number of people in a closed space. In this paper, we propose a people counting system based on Impulse Radio Ultra-Wideband radars for counting people walking through a doorway. The system uses two IR-UWB radars placed horizontally apart to create a lag effect when someone walks by the radars. This enables detection of movement’s direction and subsequently, determination of the number of people in a room. The system proposed can be used for people counting in real-time and also on saved data which offers flexibility for real world applications. Several tests were conducted which shows the accuracy rate of system to be around 90%, validating the system. Contrary to conventional vision based people counting system, the proposed system is not limited by environmental factors such as light and also is privacy oriented.

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T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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PB - Springer

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Y2 - 25 December 2021 through 26 December 2021

ER -

Hasan K, Pour Ebrahim M, Yuce MR. Real-time people counting using IR-UWB radar. In Ur Rehman M, Zoha A, editors, Body Area Networks, Smart IoT and Big Data for Intelligent Health Management: 16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings. Cham Switzerland: Springer. 2022. p. 63-70. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-030-95593-9_6

Real-time people counting using IR-UWB radar

Abstract

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Conference

Keywords

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