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dc.contributor.authorSchneider, Miroslav
dc.contributor.authorMacháček, Zdeněk
dc.contributor.authorMartinek, Radek
dc.contributor.authorKoziorek, Jiří
dc.contributor.authorJaroš, René
dc.date.accessioned2020-10-09T07:26:39Z
dc.date.available2020-10-09T07:26:39Z
dc.date.issued2020
dc.identifier.citationSensors. 2020, vol. 20, issue 12, art. no. 3558.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/142282
dc.description.abstractThis article deals with the design and implementation of a prototype of an efficient Low-Cost, Low-Power, Low Complexity-hereinafter (L-CPC) an image recognition system for person detection. The developed and presented methods for processing, analyzing and recognition are designed exactly for inbuilt devices (e.g., motion sensor, identification of property and other specific applications), which will comply with the requirements of intelligent building technologies. The paper describes detection methods using a static background, where, during the search for people, the background image field being compared does not change, and a dynamic background, where the background image field is continually adjusted or complemented by objects merging into the background. The results are compared with the output of the Horn-Schunck algorithm applied using the principle of optical flow. The possible objects detected are subsequently stored and evaluated in the actual algorithm described. The detection results, using the change detection methods, are then evaluated using the Saaty method in order to determine the most successful configuration of the entire detection system. Each of the configurations used was also tested on a video sequence divided into a total of 12 story sections, in which the normal activities of people inside the intelligent building were simulated.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttp://doi.org/10.3390/s20123558cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectobject detectioncs
dc.subjectperson detectioncs
dc.subjectmotion detectioncs
dc.subjectbackgroundcs
dc.subjectstatic backgroundcs
dc.subjectdynamic backgroundcs
dc.titleA system for the detection of persons in intelligent buildings using camera systems- A comparative studycs
dc.typearticlecs
dc.identifier.doi10.3390/s20123558
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume20cs
dc.description.issue12cs
dc.description.firstpageart. no. 3558cs
dc.identifier.wos000554690800001


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.