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Detection and face recognition of people by camera for security applications

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dc.title Detection and face recognition of people by camera for security applications en
dc.contributor.author Kotková, Barbora
dc.contributor.author Hromada, Martin
dc.contributor.author Mach, Václav
dc.contributor.author Blahová, Marta
dc.relation.ispartof Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-902734-22-8
dc.date.issued 2019
utb.relation.volume 30
utb.relation.issue 1
dc.citation.spage 610
dc.citation.epage 614
dc.event.title 30th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2019
dc.event.location Zadar
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.event.sdate 2019-10-23
dc.event.edate 2019-10-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Danube Adria Association for Automation and Manufacturing, DAAAM
dc.identifier.doi 10.2507/30th.daaam.proceedings.083
dc.relation.uri https://daaam.info/30th-proceedings-2019
dc.relation.uri https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2019/083.pdf
dc.subject camera en
dc.subject face detection en
dc.subject identification of people en
dc.subject software en
dc.subject Wolfram Mathematica en
dc.description.abstract This article discusses the possibility of applying software evaluation for detection and recognition in the inside and outside security areas. The methods of face detection and recognition, the methods used in practice are listed in the description. The program Wolfram Mathematica software was used for face detection with a subsequent comparison with the database of persons and outlines methods of testing according to the international standard. Finally, the testing of these software programs is described with a focus on their reliability according to predetermined scenarios. There are listed the final comparison between several evaluation programs which can process the face detection. © 2019, Danube Adria Association for Automation and Manufacturing, DAAAM. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011228
utb.identifier.obdid 43880256
utb.identifier.scopus 2-s2.0-85077888146
utb.source d-scopus
dc.date.accessioned 2023-01-06T08:03:56Z
dc.date.available 2023-01-06T08:03:56Z
dc.description.sponsorship IGA/CebiaTech/2019/003, IGA/FAI/2019/003; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT: LO1303, MSMT-7778/2014; European Regional Development Fund, ERDF: CEBIA-Tech ED2.1.00/03.0089
utb.contributor.internalauthor Kotková, Barbora
utb.contributor.internalauthor Hromada, Martin
utb.contributor.internalauthor Mach, Václav
utb.contributor.internalauthor Blahová, Marta
utb.fulltext.affiliation Barbora Kotkova, Martin Hromada, Vaclav Mach & Marta Blahova
utb.fulltext.dates -
utb.fulltext.references [1] Gabko, L. (2018). Testování spolehlivosti software určeného pro detekci osob. Available from: http://hdl.handle.net/10563/44437. [2] Xiangxin Z. & Ramanan, D. (2012) Face detection, pose estimation, and landmark localization in the wild. Conference on Computer Vision and Pattern Recognition. pp. 2879-2886. DOI: 10.1109/CVPR.2012.6248014. ISBN 978-1-4673-1228-8 [3] Wang, N., Gao, X., Tao, D., Yang, H. & Li, X. (2018) Facial feature point detection: A comprehensive survey. Neurocomputing. pp. 50-65. DOI: 10.1016/j.neucom.2017.05.013. ISSN 09252312. [4] Lapkova, D., Kotek, L. & Kralik L. (2018). Soft Targets – Possibilities Of Their Identification. Katalinic, Branko, ed. Proceedings of the 29th International DAAAM Symposium 2018. DAAAM International Vienna, pp. 0369-03. DOI: 10.2507/29th.daaam.proceedings.053. ISBN 9783902734204. [5] Hopjan, T. (2010). Identifikace osob pro kamerový systém. Available from: http://hdl.handle.net/11012/53000. [6] Ming-Hsuan, Y., Kriegman D.J. & Ahuja N. (2002). Detecting faces in images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 24, issue 1, pp. 34-58. DOI: 10.1109/34.982883. [7] Jablonski, P., Szewczyk R., Kulesza Z., Napieralski A., Moreno M. & Cabestany J. (2002) Automatic people identification on the basis of iris pattern - image processing and preliminary analysis. 23rd International Conference on Microelectronics. pp. 687-690. DOI: 10.1109/MIEL.2002.1003351. ISBN 0-7803-7235-2. [8] Ponzer, M. (2009). Detekce a rozpoznávání obličeje. Available from: http://hdl.handle.net/11012/2006. [9] Wu, W., Yin Y., Wang, X. & Xu D. (2019). Face Detection with Different Scales Based on Faster R-CNN. IEEE [10] Alionte, E. & Lazar, C. (2015) A practical implementation of face detection by using Matlab cascade object detector. 19th International Conference on System Theory, Control and Computing (ICSTCC). pp. 785-790. DOI: 10.1109/ICSTCC. 2015.7321390. ISBN 978-1-4799-8481-7.
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Program Project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech ED2.1.00/03.0089 and by the Internal Grant Agency of Tomas Bata University under the project No. IGA/CebiaTech/2019/003 and the IGA/FAI/2019/003.
utb.fulltext.projects LO1303 (MSMT-7778/2014)
utb.fulltext.projects ED2.1.00/03.0089
utb.fulltext.projects IGA/CebiaTech/2019/003
utb.fulltext.projects IGA/FAI/2019/003
utb.fulltext.faculty -
utb.fulltext.ou -
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