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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-03-01
|
Series: | Journal of Safety Science and Resilience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666449624000665 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!