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dc.date.accessioned 2021-03-05T13:15:56Z
dc.date.available 2021-03-05T13:15:56Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/114186
dc.description.abstract The purpose of this work is improving the functionality and usability of a low cost commercial surveillance system. The original system provides simple motion detection and sends alert messages by means of FTP or email. The modified system adds a software layer to the original system for implementing desirable image processing features. Particularly, people detection functionality was implemented by means of OpenCV Oriented Gradient Histograms . Also the modified system adds the use of Telegram messaging service for sending alerts. We compare the performance of both original and modified system regarding the intruder detection. Also the usability of both proposed and original system was tested by means of System Usability Scale (SUS). en
dc.format.extent 777-786 es
dc.language en es
dc.subject computer vision es
dc.subject motion detection es
dc.subject people detection es
dc.subject video surveillance systems es
dc.title Improving a Low Cost Surveillance System en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-4417-90-9 es
sedici.creator.person Castañeda, Carlos Sebastián es
sedici.creator.person Abásolo Guerrero, María José es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020-10
sedici.relation.event XXVI Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 5 al 9 de octubre de 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/113243 es
sedici.relation.bookTitle XXVI Congreso Argentino de Ciencias de la Computación - CACIC 2020. Libro de actas es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)