Efficient overhead people counting via improved track association and GIoU-based similarity for public transport monitoring

In public transportation, vision-based monitoring counting systems can contribute to improved safety and resource management within public transportation systems. In this study, we introduce a novel Line-of-Interest (LOI) counting model tailored for people counting from an overhead view in video foo...

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Bibliographic Details
Main Authors: Keke Tang, Haibin Cai, Baihua Li
Format: Default Conference proceeding
Published: 2025
Subjects:
Tracking
Object detection
Deep learning
Computer vision
Online Access:https://hdl.handle.net/2134/29481002.v1
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