Privacy-preserving and IoT-capable Crowd Analysis and Detection of Flow Disturbances for Enhancing Public Safety-Reference-Cited by-同舟云学术

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Privacy-preserving and IoT-capable Crowd Analysis and Detection of Flow Disturbances for Enhancing Public Safety

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems
language:
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Author:

Ziegler Hans G.¹

Affiliation:

1. University of London and Adesso Schweiz AG, United Kingdom

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 5 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. RFA-YOLO-POSE: A Fusion Algorithm for Pose Detection and Object Identification Amidst Complex Crowds;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

2. Application Domain-Based Overview of IoT Network Traffic Characteristics;ACM Computing Surveys;2021-07-31

3. Systematic mapping of computational solutions to make smart cities safer;Proceedings of the 10th Euro-American Conference on Telematics and Information Systems;2020-11-25

4. Public Order Disruption Event Detection Based on IoT Technology. An Approach for the Improvement of Public Security Conditions;Smart Innovation, Systems and Technologies;2020

5. An improved method for detection of the pedestrian flow based on RFID;Multimedia Tools and Applications;2017-12-04

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