000165907 001__ 165907
000165907 005__ 20260116002211.0
000165907 0247_ $$2doi$$a10.1109/TLA.2021.9477277
000165907 0248_ $$2sideral$$a126048
000165907 037__ $$aART-2021-126048
000165907 041__ $$aeng
000165907 100__ $$0(orcid)0000-0001-6241-2164$$aQuintana, I
000165907 245__ $$aAn edge-cloud approach for video surveillance in public transport vehicles
000165907 260__ $$c2021
000165907 5203_ $$aA Video Surveillance System (VSS) is of primary importance in public transport hubs such as airports, train or bus stations but also inside the vehicle itself. In this paper, we present a heuristic architecture model for on-board video surveillance system based on Internet of Video Things (IoVT) devices which addresses the need for delivering smart video surveillance in public transport vehicles (e.g., buses) minimizing the impact on network performance. A proof-of-concept was implemented using a public Cloud Service Provider (CSP) and two Raspberry Pi as edge computing nodes. On the edge nodes, a Machine Learning (ML) application was deployed along with a network-efficient video streaming system. On the other hand, laboratory tests are included to understand the network traffic dynamic, furthermore results are enhanced with a set of simulations in order to analyze the performance of a video streaming application and 6 different congestion control algorithms in terms of packet loss and delay.
000165907 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T31-20R
000165907 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000165907 590__ $$a0.967$$b2021
000165907 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b244 / 274 = 0.891$$c2021$$dQ4$$eT3
000165907 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b152 / 163 = 0.933$$c2021$$dQ4$$eT3
000165907 592__ $$a0.33$$b2021
000165907 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ3
000165907 593__ $$aComputer Science (miscellaneous)$$c2021$$dQ3
000165907 594__ $$a2.1$$b2021
000165907 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000165907 700__ $$aSequeira, L
000165907 700__ $$0(orcid)0000-0003-4690-6089$$aRuiz-Mas, J.$$uUniversidad de Zaragoza
000165907 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000165907 773__ $$g19, 10 (2021), 1763-1771$$tIEEE LATIN AMERICA TRANSACTIONS$$x1548-0992
000165907 8564_ $$s5271122$$uhttps://zaguan.unizar.es/record/165907/files/texto_completo.pdf$$yPostprint
000165907 8564_ $$s3480447$$uhttps://zaguan.unizar.es/record/165907/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000165907 909CO $$ooai:zaguan.unizar.es:165907$$particulos$$pdriver
000165907 951__ $$a2026-01-15-21:56:20
000165907 980__ $$aARTICLE