A data fusion-based method for pedestrian detection and flow statistics across different crowd densities

Accurate tracking and statistics analysis of pedestrian flow have wide applications in public scenarios. However, the conventional tracking-by-detection approaches are prone to missing individuals in densely populated or poorly lit environments. This study introduces a pedestrian detection and flow...

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Bibliographic Details

Published in:	Journal of Safety Science and Resilience
Main Authors:	Ranpeng Wang, Hang Gao, Yi Liu
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-03-01
Subjects:	Object detection Crowd counting Data fusion Pedestrian flow statistics
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666449624000665