Multicamera edge-computing system for persons indoor location and tracking-Reference-Cited by-同舟云学术

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Multicamera edge-computing system for persons indoor location and tracking

Published:2023-12 Issue: Volume:24 Page:100940
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Carro-Lagoa Ángel^ORCID,Barral Valentín^ORCID,González-López Miguel^ORCID,Escudero Carlos J.^ORCID,Castedo Luis^ORCID

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference35 articles.

1. A comprehensive survey of indoor localization methods based on computer vision;Morar;Sensors,2020

2. Human tracking over camera networks: a review;Hou;EURASIP J. Adv. Signal Process.,2017

3. WILDTRACK: A multi-camera HD dataset for dense unscripted pedestrian detection;Chavdarova,2018

4. CamLoc: Pedestrian location estimation through body pose estimation on smart cameras;Cosma,2019

5. Alternatives for locating people using cameras and embedded ai accelerators: A practical approach;Carro-Lagoa;Eng. Proc.,2021

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. Optimizing accuracy and efficiency in real-time people counting with cascaded object detection;International Journal of Information Technology;2024-08-23

2. Location-Based Services for Indoor Environments: A User Experience Test;BIO Web of Conferences;2024

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