- Volume 41 Issue 5
DOI QR Code
Determination of Optimum Threshold for Accuracy of People-counting System Based on Motion Detection
- Ryu, Hanseul (Intern program, Built Environment Science and Technology Laboratory, Graduate School of Public Health, Seoul National University) ;
- Song, Junho (Intern program, Built Environment Science and Technology Laboratory, Graduate School of Public Health, Seoul National University) ;
- Lee, Boram (Department of Environmental Health Graduate School of Public Health, Seoul National University) ;
- Lee, Kiyoung (Department of Environmental Health Graduate School of Public Health, Seoul National University)
- Received : 2015.07.06
- Accepted : 2015.09.25
- Published : 2015.10.28
Objectives: A people-counting system measures real-time occupancy through motion detection. Accurate people-counting can be used to calculate suitable ventilation demands. This study determined the optimum motion threshold for a people-counting system. Methods: In a closed room with two occupants moving constantly, different thresholds were tested for the accuracy of a people-counting system. The experiments were conducted at 150, 300, 450 and 600 lux. These levels of brightness included the illumination levels of most public indoor areas. The experiments were repeated with three types of clothing coloration. Results: Overall, a threshold of 16 provided the lowest mean error percentage for the people-counting system. Brightness and clothing color did not have a significant impact on the results. Conclusion: A people-counting system could be used with threshold of 16 for most indoor environments.
Grant : 융합기술을 활용한 건강복지 공동이용시설의 통합 시스템의 개발
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