Framework for timely perception of spatiotemporal crowd congestion risk in public spaces based on video pedestrian tracking and geographic mapping
As urbanization intensifies, congestion and safety concerns in various public venues have garnered significant societal attention, presenting substantial challenges for public safety management and emergency response. To address this issue, developing a technological framework capable of automatic p...
Saved in:
| Main Authors: | Shaojun Liu, Ling Zhang, Junlian Ge, Weitao Li, Yi Long |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2480416 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mobile eye tracking applied as a tool for customer experience research in a crowded train station
by: Andrea Schneider, et al.
Published: (2023-01-01) -
CrowNet: Open Source Modeling and Simulation of Pedestrian-2-X and Crowd Networks
by: Stefan Schuhback, et al.
Published: (2025-01-01) -
Quantifying crowding perception at large events using beacons and surveys
by: Sakurako Tanida, et al.
Published: (2025-01-01) -
Learning from Outputs: Improving Multi-Object Tracking Performance by Tracker Fusion
by: Vincenzo M. Scarrica, et al.
Published: (2024-11-01) -
Detection of Crowd concentrations with YOLO V3
by: Ba Duy Nguyen, et al.
Published: (2023-10-01)