research-article

Estimation of the number of humans and their movement paths in a room using binary infrared sensors

Authors:

Toshiaki Miyazaki,

Yuki KasamaAuthors Info & Claims

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

Article No.: 91, Pages 1 - 7

https://doi.org/10.1145/2184751.2184858

Published: 20 February 2012 Publication History

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Editorial Notes

A corrigendum was issued for this paper on January 13, 2023. You can download the corrigendum from the supplemental materials section of this citation page.

Abstract

It is very important to be able to determine humans' locations and their movement in order to a ubiquitous service environment. In this paper, we propose an algorithm that simultaneously estimates the number of humans and the movement path for each human in a room, using only the binary sensing data obtained from infrared sensors attached to the ceiling. Compared to other camera-based systems, the estimation results of our algorithm can be used directly in application systems without violating anyone's privacy. After describing the proposed algorithm in detail, we then describe our evaluation results.

Supplementary Material

2184858-corrigendum (2184858-corrigendum.pdf)

Corrigendum to "Estimation of the number of humans and their movement paths in a room using binary infrared sensors" by Miyazaki et al., Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication (ICUIMC '12).

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Cited By

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YU TKUKI YMATSUSHITA GMAEHARA DSAMPEI SSAKAGUCHI K(2017)Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor NetworksIEICE Transactions on Communications10.1587/transcom.2016EBP3344E100.B:6(974-985)Online publication date: 2017
https://doi.org/10.1587/transcom.2016EBP3344
Miyazaki TKasama Y(2015)Multiple Human Tracking Using Binary Infrared SensorsSensors10.3390/s15061345915:6(13459-13476)Online publication date: 8-Jun-2015
https://doi.org/10.3390/s150613459
Miyazaki TKasama Y(2013)Movement path estimation for multiple humans in a room using binary infrared sensorsProceedings of the 2013 International Conference on Information Networking (ICOIN)10.1109/ICOIN.2013.6496349(42-47)Online publication date: 28-Jan-2013
https://dl.acm.org/doi/10.1109/ICOIN.2013.6496349

Index Terms

Estimation of the number of humans and their movement paths in a room using binary infrared sensors
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding

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Published In

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

February 2012

852 pages

ISBN:9781450311724

DOI:10.1145/2184751

Conference Chairs:
Suk-Han Lee
Sungkyunkwan University, Korea
,
Lajos Hanzo
University of Southampton, UK
,
Roslan Ismail
Universiti Kuala Lumpur, Malaysia
,
Program Chairs:
Dongsoo S. Kim
Indiana University
,
Min Young Chung
Sungkyunkwan University, Korea
,
Sang-Won Lee
Sungkyunkwan University, Korea

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Published: 20 February 2012

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ICUIMC '12: The 6th International Conference on Ubiquitous Information Management and Communication

February 20 - 22, 2012

Kuala Lumpur, Malaysia

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YU TKUKI YMATSUSHITA GMAEHARA DSAMPEI SSAKAGUCHI K(2017)Design and Implementation of Lighting Control System Using Battery-Less Wireless Human Detection Sensor NetworksIEICE Transactions on Communications10.1587/transcom.2016EBP3344E100.B:6(974-985)Online publication date: 2017
https://doi.org/10.1587/transcom.2016EBP3344
Miyazaki TKasama Y(2015)Multiple Human Tracking Using Binary Infrared SensorsSensors10.3390/s15061345915:6(13459-13476)Online publication date: 8-Jun-2015
https://doi.org/10.3390/s150613459
Miyazaki TKasama Y(2013)Movement path estimation for multiple humans in a room using binary infrared sensorsProceedings of the 2013 International Conference on Information Networking (ICOIN)10.1109/ICOIN.2013.6496349(42-47)Online publication date: 28-Jan-2013
https://dl.acm.org/doi/10.1109/ICOIN.2013.6496349

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Movement path estimation for multiple humans in a room using binary infrared sensors

Simultaneous Estimation of the Number of Humans and their Movement Loci in a Room Using Infrared Sensors

Segmentation and Tracking of Multiple Humans in Crowded Environments

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Movement path estimation for multiple humans in a room using binary infrared sensors

Simultaneous Estimation of the Number of Humans and their Movement Loci in a Room Using Infrared Sensors

Segmentation and Tracking of Multiple Humans in Crowded Environments

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