Abstract
The number of people entering an exhibition, a fair or a booth, or the number of people getting on and off the bus, etc. based on time-based statistics is very meaningful for the manager. There have been many studies and solutions to implement this problem. Each solution is applied in several different situations, depending on accuracy requirements, deployment location, deployment environment, product costs. This paper proposes a solution to count people with low-cost hardware, countable for both in and out directions, and the accuracy rate of over 92%. The solution proposes using two webcams of the same type, the process of classification and processing is done on Raspberry PI.
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Hung, P.D. (2019). Counting People Using Images from Two Low Cost Webcams. In: Dang, T., Küng, J., Takizawa, M., Bui, S. (eds) Future Data and Security Engineering. FDSE 2019. Lecture Notes in Computer Science(), vol 11814. Springer, Cham. https://doi.org/10.1007/978-3-030-35653-8_48
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DOI: https://doi.org/10.1007/978-3-030-35653-8_48
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