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Published in: Neural Processing Letters 4/2021

08-08-2020

RETRACTED ARTICLE: A City Monitoring System Based on Real-Time Communication Interaction Module and Intelligent Visual Information Collection System

Authors: Daming Li, Bin Qin, Wenjian Liu, Lianbing Deng

Published in: Neural Processing Letters | Issue 4/2021

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Abstract

With the rapid development of society, the improvement of material level and the current situation of the large-scale population flow in China, the awareness of security is becoming more and more important in people’s life. With the rapid development of image processing and computer vision technology, people try to analyze, process and understand the collected video image automatically without human intervention. The intelligent video monitoring system collects video signals of interested objects in a dynamic scene through a camera, and processes and analyzes image information by a computer. Only by establishing a reasonable and effective urban video monitoring management system can government departments find out problems in the first time. The traditional highway monitoring and commanding traffic scheduling system based on GIS, which can obtain road traffic information and conduct traffic scheduling by remote sensing, has the disadvantage of poor effect on traffic scheduling. In this paper, real-time communication technology and computer vision acquisition technology are used to build a city monitoring system. The experimental results show that this method has strong timeliness and good monitoring effect. Compared with the state-of-the-art methodologies, the proposed framework is efficient and accurate.

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Metadata
Title
RETRACTED ARTICLE: A City Monitoring System Based on Real-Time Communication Interaction Module and Intelligent Visual Information Collection System
Authors
Daming Li
Bin Qin
Wenjian Liu
Lianbing Deng
Publication date
08-08-2020
Publisher
Springer US
Published in
Neural Processing Letters / Issue 4/2021
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-020-10325-5

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