Kontaktujte nás | Jazyk: čeština English
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 | - |