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Miyazaki T, Kasama Y. Multiple Human Tracking Using Binary Infrared Sensors. Sensors (Basel). 2015;15(6):13459-76doi: 10.3390/s150613459.
Miyazaki, T., & Kasama, Y. (2015). Multiple Human Tracking Using Binary Infrared Sensors. Sensors (Basel, Switzerland), 15(6), 13459-76. https://doi.org/10.3390/s150613459
Miyazaki, Toshiaki, and Kasama, Yuki. "Multiple Human Tracking Using Binary Infrared Sensors." Sensors (Basel, Switzerland) vol. 15,6 (2015): 13459-76. doi: https://doi.org/10.3390/s150613459
Miyazaki T, Kasama Y. Multiple Human Tracking Using Binary Infrared Sensors. Sensors (Basel). 2015 Jun 08;15(6):13459-76. doi: 10.3390/s150613459. PMID: 26061201; PMCID: PMC4507662.
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Sensors (Basel). 2015 Jun 08;15(6):13459-76. doi: 10.3390/s150613459.

Multiple Human Tracking Using Binary Infrared Sensors.

Sensors (Basel, Switzerland)

Toshiaki Miyazaki, Yuki Kasama

Affiliations

  1. The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. [email protected].
  2. The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. [email protected].

PMID: 26061201 PMCID: PMC4507662 DOI: 10.3390/s150613459

Abstract

To create a context-aware environment, human locations and movement paths must be considered. In this paper, we propose an algorithm that tracks human movement paths using only binary sensed data obtained by infrared (IR) sensors attached to the ceiling of a room. Our algorithm can estimate multiple human movement paths without a priori knowledge of the number of humans in the room. By repeating predictions and estimations of human positions and links from the previous human positions to the estimated ones at each time period, human movement paths can be estimated. Simulation-based evaluation results show that our algorithm can dynamically trace human movement paths.

Keywords: infrared sensor; multiple human tracking; privacy

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