Abstract
People counting finds applications in many scenarios where the density of people present in an area is crucial. Although, there are a lot of research on people counting using image processing and pattern recognition, we focus on less complex, lightweight, cost effective, and low energy people counters. In this paper, we have detailed methods and algorithms for people counting using proximity sensors. We have also shown the experimental results for various designs of people counters and compared them with the actual results.
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Acknowledgement
This research is supported by Singapore University of Technology and Design (grant no SUTD-ZJU/RES/02/2011) and MND Research Fund Sustainable Urban Living Grant.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Viswanath, S.K., Gubba, S.R., Arunn, B., Veerappan, C.S., Yuen, C. (2015). On the Design of a Cost-Effective and Lightweight People Counting Sensor. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_27
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DOI: https://doi.org/10.1007/978-3-319-19743-2_27
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