3 Development and Comparison of Four Different Occupancy Counting and Estimation Solutions (LB-17-C021)

Junjing Yang, Ph.D., National University of Singapore
Alexandros Pantazaras, National University of Singapore
Arun Kumar Chandran, Ph.D., National University of Singapore
Siew Eang Lee, Ph.D., National University of Singapore
Mat Santamouris, Ph.D., UNSW
Kwok Wai Tham, Ph.D., National University of Singapore
Lawrence Wong, National University of Singapore
Occupancy information is important to building facility managers in terms of predictive control, safety, as well as the indoor environment quality. Previous works have addressed different occupancy counting and estimation solutions in different buildings or spaces. In this paper, we build up a test bed using the existing University lecture theatres to develop and compare four different occupancy counting methodologies. The paper addresses the occupancy counting challenge in educational building deployment scenario with large groups of people entering and leaving. Experiments have been conducted for three months with every 5 minutes data reporting interval. The results will be compared with the ground truth of real time pictures.

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