A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera-Reference-Cited by-同舟云学术

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A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera

Published:2024-02-05 Issue: Volume: Page:25-32
ISSN:
Container-title:2024 IEEE 18th International Conference on Semantic Computing (ICSC)
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Author:

Ghaziamin Pardis¹,Bajaj Kairavi²,Bouguila Nizar¹,Patterson Zachary¹

Affiliation:

1. Concordia University,Concordia Institute for Information Systems Engineering,Montreal,Canada

2. University of Montreal,Département d’informatique et de recherche opérationnelle,Montreal,Canada

Funder

Mitacs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475597/10475598/10475621.pdf?arnumber=10475621

Reference37 articles.

1. Short-Term Passenger Flow Prediction Using a Bus Network Graph Convolutional Long Short-Term Memory Neural Network Model

2. Automatic Passenger Counting on the Edge via Unsupervised Clustering

3. Privacy-centric AI-based real-time storage-less edge computing approaches for passenger counting and action classification on public transport vehicles

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Object Detection from UAV Inspection Videos by Combining YOLOv5s and DeepStream;Sensors;2024-06-14

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