Use of Deep Learning Methods for People Counting in Public Transport-Reference-Cited by-同舟云学术

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Use of Deep Learning Methods for People Counting in Public Transport

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Connected Vehicle and Expo (ICCVE)
language:
Short-container-title:

Author:

Baumann Daniel¹,Sommer Martin¹,Schrempp Yannick¹,Sax Eric¹

Affiliation:

1. Institute for Information Processing Technologies (ITIV), Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany,76131

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741822/9742718/09742924.pdf?arnumber=9742924

Reference16 articles.

1. Image sequence analysis for counting in real time people getting in and out of a bus

2. Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors

Cited by 2 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. A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning;Public Transport;2024-02-24

2. Efficient Passenger Counting in Public Transport Based on Machine Learning;TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31

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