Intelligent Video Surveillance based on Mobile Edge Networks

Haoji Hu, Hangguan Shan, Zhuolin Zheng, Zhuojun Huang, Chengfei Cai, Chuankun Wang, Xiaojian Zhen, Lu Yu, Zhaoyang Zhang, Tony Q.S. Quek

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Video surveillance systems or Internet of Multimedia Things (IoMT) are playing a more and more important role in our daily life. To obtain useful surveillance information timely and accurately, not only image recognition algorithm but also computing and communication resources can be bottlenecks of the whole system. In this work, taking face recognition application as an example, we study how to build video surveillance systems by utilizing mobile edge computing (MEC), one of the 5G's key technologies. Specifically, to achieve high recognition accuracy and low recognition time, we design image recognition algorithms for both the camera sensor and MEC server, and utilize Q-learning based approach to train actions of the system by jointly optimizing offloading decision and image compression parameter. Experiment results show the advantages of the proposed system design for enabling network-adaptive, efficient, and intelligent video surveillance.

原文English
主出版物標題2018 IEEE International Conference on Communication Systems, ICCS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面286-291
頁數6
ISBN(電子)9781538678640
DOIs
出版狀態Published - 2018 七月 2
事件16th IEEE International Conference on Communication Systems, ICCS 2018 - Chengdu, China
持續時間: 2018 十二月 192018 十二月 21

出版系列

名字2018 IEEE International Conference on Communication Systems, ICCS 2018

Conference

Conference16th IEEE International Conference on Communication Systems, ICCS 2018
國家China
城市Chengdu
期間18-12-1918-12-21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Aerospace Engineering

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