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JDR Vol.19 No.2 pp. 408-410
(2024)
doi: 10.20965/jdr.2024.p0408

Note:

Visualization and Analysis of Visitor Trajectories and Stops in Indoor Exhibition Facilities

Takashi Chiba

Platform Service Department, AI/IoT Technology Division, Section 1, BIPROGY Inc.
1-1-1 Toyosu, Koto-ku, Tokyo 135-8560, Japan

Corresponding author

Received:
October 10, 2023
Accepted:
December 15, 2023
Published:
April 1, 2024
Keywords:
LiDAR, visitor flow, stopping, heatmap
Abstract

We used LiDAR to detect and track people in an exhibition facility for better crowd management. The results were treated as time series data and visualized using a web application. In addition, we verified visitors’ stopping points to quantify interest in various exhibits, and found that by checking the time visitors spent in front of exhibits in 10-second intervals, the places in the exhibition hall that interested visitors could be visualized. The results suggest that the time classified as viewing is not necessarily longer, but that a threshold that takes into account the facilities and routes within the exhibition facility should be set.

Cite this article as:
T. Chiba, “Visualization and Analysis of Visitor Trajectories and Stops in Indoor Exhibition Facilities,” J. Disaster Res., Vol.19 No.2, pp. 408-410, 2024.
Data files:
References
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Last updated on Apr. 05, 2024