Training a Regression-Based Model for Crowd Counting in Transit Cars Using Ranked Image Pairs and Triplets

Accurately measuring the level of crowding in transit cars is crucial for ensuring passenger safety and efficient operation. However, applying object detection algorithms to crowd counting in transit cars poses difficulties due to the low viewpoint of the cameras and the labor-intensive task of imag...

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Bibliographic Details
Main Authors: Hojun Lee, Kyeongjun Lee, Jiwon Kang, Keemin Sohn
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10403893/