BMA for the BMA: Boosting Mobility Analysis for the Bangkok Metropolitan Administration via Automated Pedestrian Counting from CCTV

dc.contributor.authorPoonnaphop Kujareanpaisal
dc.contributor.authorRujira Mayhasap
dc.contributor.authorPin Pin Tea-makorn
dc.contributor.authorPavitra Jindahra
dc.contributor.authorStefano Starita
dc.contributor.authorNagul Cooharojananone
dc.contributor.authorKanokwan Atchariyachanvanich
dc.date.accessioned2026-05-08T19:21:20Z
dc.date.issued2024-11-9
dc.description.abstractThe objective of detecting and counting people using the CCTV camera on the footpath is to facilitate and reduce the time required to count the number of people traveling in pedestrian areas without having to actually visit the area. This paper uses the head detection technique to solve the problem of overlapping objects, YOLOv8n for detection and BoT-SORT for object tracking. A program was developed to assist the Bangkok Metropolitan Administration in counting the number of people within the region of interest and visualizing the statistics. Users can view statistics in the form of visual charts to compare the maximum number of people in each period by importing the video into the program. Users can also view historical statistics from previously imported videos. This program enables users to monitor pedestrian traffic in each area, providing valuable insights for urban planning decisions.
dc.identifier.doi10.1109/scisisis61014.2024.10760155
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17994
dc.subjectHuman Mobility and Location-Based Analysis
dc.subjectTraffic Prediction and Management Techniques
dc.subjectVideo Surveillance and Tracking Methods
dc.titleBMA for the BMA: Boosting Mobility Analysis for the Bangkok Metropolitan Administration via Automated Pedestrian Counting from CCTV
dc.typeArticle

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