{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:45:58Z","timestamp":1768812358366,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030298517","type":"print"},{"value":"9783030298524","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29852-4_22","type":"book-chapter","created":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T19:06:50Z","timestamp":1570475210000},"page":"271-280","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Applying Face Recognition in Video Surveillance Security Systems"],"prefix":"10.1007","author":[{"given":"Bauyrzhan","family":"Omarov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Batyrkhan","family":"Omarov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shirinkyz","family":"Shekerbekova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farida","family":"Gusmanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nurzhamal","family":"Oshanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alua","family":"Sarbasova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanna","family":"Yessengaliyeva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agyn","family":"Bedelbayev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akmarzhan","family":"Maikhanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nurzhan","family":"Omarov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniyar","family":"Sultan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,8]]},"reference":[{"key":"22_CR1","unstructured":"Collins, R., et al.: A system for video surveillance and monitoring. Technical report. CMU-RI-TR-00-12VSAM, Final Report. Carnegie Mellon University, Pittsburgh, May 2000"},{"issue":"8","key":"22_CR2","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1109\/34.868683","volume":"22","author":"I Haritaoglu","year":"2000","unstructured":"Haritaoglu, I., David, H., Larry, S.D.: W4: real time surveillance of People and their Activities. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 809\u2013830 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0913-4","volume-title":"Video Based Surveillance Systems Computer Vision and Distributed Processing","author":"P Remagnino","year":"2002","unstructured":"Remagnino, P., Jones, G.A., Paragios, N., Regazzoni, C.S.: Video Based Surveillance Systems Computer Vision and Distributed Processing. Kluwer, Norwell (2002). \n                      https:\/\/doi.org\/10.1007\/978-1-4615-0913-4"},{"issue":"8","key":"22_CR4","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/34.868677","volume":"22","author":"G Stauffer","year":"2000","unstructured":"Stauffer, G.: Learning patterns of activity using real-time tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 747\u2013757 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR5","unstructured":"VACE: Video analysis and content exploitation. \n                      http:\/\/www.ic-arda.org\/InfoExploit\/vace\/"},{"key":"22_CR6","volume-title":"Biometrics: Personal Identification in Networked Security","year":"1999","unstructured":"Jain, A.K., Bolle, R., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Security. Kluwer Academic Publishers, Norwell (1999)"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Wan, Q., et al.: Face description using anisotropic gradient: thermal infrared to visible face recognition. In: Proceedings of Mobile Multimedia\/Image Processing, Security, and Applications 2018, SPIE, vol. 10668, p. 106680V, 14 May 2018. \n                      https:\/\/doi.org\/10.1117\/12.2304898","DOI":"10.1117\/12.2304898"},{"key":"22_CR8","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-319-69523-5_5","volume-title":"Smart Camera Design","author":"M Wolf","year":"2018","unstructured":"Wolf, M.: Image and video analysis. Smart Camera Design, pp. 163\u2013197. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-69523-5_5"},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.measurement.2017.10.064","volume":"116","author":"S Kumar","year":"2018","unstructured":"Kumar, S., Pandey, A., Satwik, K.S.R.: Deep learning framework for recognition of cattle using muzzle point image pattern. Measurement 116, 1\u201317 (2018)","journal-title":"Measurement"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Kumar, S., Tiwari, S., Singh, S.K: Face recognition for cattle. In: Proceedings of 3rd IEEE International Conference on Image Information Processing (ICIIP), pp. 65\u201372 (2015)","DOI":"10.1109\/ICIIP.2015.7414742"},{"key":"22_CR11","unstructured":"Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 1991), pp. 586\u2013591 (1991)"},{"issue":"7","key":"22_CR12","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1109\/34.598228","volume":"19","author":"PN Belhumeur","year":"1997","unstructured":"Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711\u2013720 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"22_CR13","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.1162\/089976600300014980","volume":"12","author":"G Baudat","year":"2000","unstructured":"Baudat, G., Anouar, F.: Generalized discriminant analysis using a kernel approach. Neural Comput. 12(10), 2385\u20132424 (2000)","journal-title":"Neural Comput."},{"issue":"2","key":"22_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/72.914517","volume":"12","author":"KR Muller","year":"2001","unstructured":"Muller, K.R., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.: An introduction to kernel-based learning algorithms. IEEE Trans. Neural Netw. 12(2), 181\u2013201 (2001)","journal-title":"IEEE Trans. Neural Netw."},{"key":"22_CR15","first-page":"21","volume":"20","author":"MG Kang","year":"2013","unstructured":"Kang, M.G., Park, S.C., Park, M.K.: Super-resolution image reconstruction: a technical overview. IEEE Signal Process. Mag. 20, 21\u201336 (2013)","journal-title":"IEEE Signal Process. Mag."},{"issue":"1","key":"22_CR16","first-page":"68","volume":"5","author":"A Suliman","year":"2018","unstructured":"Suliman, A., Omarov, B.S.: Applying Bayesian regularization for acceleration of Levenberg-Marquardt based neural network training. Int. J. Interact. Multimedia Artif. Intell. 5(1), 68\u201372 (2018)","journal-title":"Int. J. Interact. Multimedia Artif. Intell."},{"key":"22_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1007\/978-3-319-59105-6_35","volume-title":"Computer Information Systems and Industrial Management","author":"B Omarov","year":"2017","unstructured":"Omarov, B., Altayeva, A., Cho, Y.I.: Smart building climate control considering indoor and outdoor parameters. In: Saeed, K., Homenda, W., Chaki, R. (eds.) CISIM 2017. LNCS, vol. 10244, pp. 412\u2013422. Springer, Cham (2017). \n                      https:\/\/doi.org\/10.1007\/978-3-319-59105-6_35"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Altayeva, A., Omarov, B., Cho, I.Y.: Towards smart city platform intelligence: PI decoupling math model for temperature and humidity control. In: 2018 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 693\u2013696. IEEE January 2018","DOI":"10.1109\/BigComp.2018.00128"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Altayeva, A., Omarov, B., Cho, I.Y.: Multi-objective optimization for smart building energy and comfort management as a case study of smart city platform. In: 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC\/SmartCity\/DSS), pp. 627\u2013628. IEEE December 2017","DOI":"10.1109\/HPCC-SmartCity-DSS.2017.86"}],"container-title":["Lecture Notes in Computer Science","Software Technology: Methods and Tools"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29852-4_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T19:13:23Z","timestamp":1570475603000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29852-4_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298517","9783030298524"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29852-4_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TOOLS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Objects, Components, Models and Patterns","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Innopolis","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"51","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tools2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tools2019.innopolis.ru\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"62","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}