Decentralized Smart Surveillance through Microservices Platform release_pxhxfqbjejftpoufc7n3isgxwm

by Seyed Yahya Nikouei, Ronghua Xu, Yu Chen, Alex Aved, Erik Blasch

Released as a article .

2019  

Abstract

Connected societies require reliable measures to assure the safety, privacy, and security of members. Public safety technology has made fundamental improvements since the first generation of surveillance cameras were introduced, which aims to reduce the role of observer agents so that no abnormality goes unnoticed. While the edge computing paradigm promises solutions to address the shortcomings of cloud computing, e.g., the extra communication delay and network security issues, it also introduces new challenges. One of the main concerns is the limited computing power at the edge to meet the on-site dynamic data processing. In this paper, a Lightweight IoT (Internet of Things) based Smart Public Safety (LISPS) framework is proposed on top of microservices architecture. As a computing hierarchy at the edge, the LISPS system possesses high flexibility in the design process, loose coupling to add new services or update existing functions without interrupting the normal operations, and efficient power balancing. A real-world public safety monitoring scenario is selected to verify the effectiveness of LISPS, which detects, tracks human objects and identify suspicious activities. The experimental results demonstrate the feasibility of the approach.
In text/plain format

Archived Files and Locations

application/pdf  4.3 MB
file_l5pf2lkbhnhvtmsed3vt2llmbm
arxiv.org (repository)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article
Stage   submitted
Date   2019-03-11
Version   v1
Language   en ?
arXiv  1903.04563v1
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 07b220d5-f33f-42fc-be5d-36eca5dcaba0
API URL: JSON