Abstract
We have been aiming to establish guidelines for the mutual safe coexistence of people and drivers of PMVs on the road. As one of the studies, we tried to classify staying people on the road into the following 4 categories: “Optional activity, sitting”, “Optional activity, standing”, “Social activity, sitting”, and “Social activity, standing”. The public space was set up in a Temporarily-Pedestrianized Street in a residential area of Tokyo, Japan, and people’s activities in the area were videotaped for 21 h over 14 days. From the images, we classified 1083 scenes into four categories and examined the relationship between these categories and the Area of activity we proposed. These results suggest the possibility of knowing a person's activity in the public space by calculating the Area of activity.
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Acknowledgments
This research was conducted as an activity of the QOL-oriented Public Space Management Research Unit of the Advanced Research Laboratories, Tokyo City University, with financial support from Tokyo City University. Also This work was supported by JSPS KAKENHI Grant Number 22K04461.
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Miyachi, H., Kikuchi, A., Mochizuki, D., Sueshige, Y., Sugimachi, T. (2023). Categorization of Staying People’s Activities in Public Space on the Road Using Camera Footage. In: Barolli, L. (eds) Advances in Networked-based Information Systems. NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-031-40978-3_31
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DOI: https://doi.org/10.1007/978-3-031-40978-3_31
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