Determination of Optimum Threshold for Accuracy of People-counting System Based on Motion Detection
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Objectives: A people-counting system measures real-time occupancy through motion detection. Accurate peoplecountingcan be used to calculate suitable ventilation demands. This study determined the optimum motionthreshold for a people-counting system. Methods: In a closed room with two occupants moving constantly, different thresholds were tested for the accuracyof a people-counting system. The experiments were conducted at 150, 300, 450 and 600 lux. These levelsof brightness included the illumination levels of most public indoor areas. The experiments were repeated withthree 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.
Abstract
Objectives: A people-counting system measures real-time occupancy through motion detection. Accurate peoplecountingcan be used to calculate suitable ventilation demands. This study determined the optimum motionthreshold for a people-counting system. Methods: In a closed room with two occupants moving constantly, different thresholds were tested for the accuracyof a people-counting system. The experiments were conducted at 150, 300, 450 and 600 lux. These levelsof brightness included the illumination levels of most public indoor areas. The experiments were repeated withthree 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.
참고문헌 (16)
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