EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT-Reference-Cited by-同舟云学术

EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT

Published:2022-10-15 Issue:20 Volume:9 Page:20382-20392
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Guo Siyan¹^ORCID,Zhao Cong²^ORCID,Wang Guiqin³,Yang Jiaqing⁴,Yang Shusen⁵^ORCID

Affiliation:

1. National Engineering Laboratory for Big Data Analytics and the School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

2. Department of Computing, Imperial College London, London, U.K.

3. National Engineering Laboratory for Big Data Analytics and the School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China

4. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

5. National Engineering Laboratory for Big Data Analytics and Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9913253/09771217.pdf?arnumber=9771217

Reference44 articles.

1. SiamVGG: Visual tracking using deeper siamese networks;li;arXiv 1902 02804,2019

2. Collaborative edge and cloud neural networks for real-time video processing

3. SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning

4. Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things

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