{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T19:06:49Z","timestamp":1648667209594},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,15]]},"abstract":"<jats:p>Facial recognition systems has captivated research attention in recent years. Facial recognition technology is often required in real-time systems. With the rapid development, diverse algorithms of machine learning for detection and facial recognition have been proposed to address the challenges existing. In the present paper we proposed a system for facial detection and recognition under unconstrained conditions in video sequences. We analyze learning based and hand-crafted feature extraction approaches that have demonstrated high performance in task of facial recognition. In the proposed system, we compare different traditional algorithms with the avant-garde algorithms of facial recognition based on approaches discussed. The experiments on unconstrained datasets to study the face detection and face recognition show that learning based algorithms achieves a remarkable performance to face the challenges in real-time systems.<\/jats:p>","DOI":"10.3233\/faia200567","type":"book-chapter","created":{"date-parts":[[2020,9,16]],"date-time":"2020-09-16T23:03:50Z","timestamp":1600297430000},"source":"Crossref","is-referenced-by-count":0,"title":["Comparison of Face Detection and Recognition Algorithms in Real-Time Video"],"prefix":"10.3233","author":[{"given":"Alejandra Sarahi","family":"Sanchez-Moreno","sequence":"first","affiliation":[{"name":"Secci\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Instituto Polit\u00e9cnico Nacional, M\u00e9xico City, M\u00e9xico"}]},{"given":"Hector Manuel","family":"Perez-Meana","sequence":"additional","affiliation":[{"name":"Secci\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Instituto Polit\u00e9cnico Nacional, M\u00e9xico City, M\u00e9xico"}]},{"given":"Jesus","family":"Olivares-Mercado","sequence":"additional","affiliation":[{"name":"Secci\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Instituto Polit\u00e9cnico Nacional, M\u00e9xico City, M\u00e9xico"}]},{"given":"Gabriel","family":"Sanchez-Perez","sequence":"additional","affiliation":[{"name":"Secci\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Instituto Polit\u00e9cnico Nacional, M\u00e9xico City, M\u00e9xico"}]},{"given":"Karina","family":"Toscano-Medina","sequence":"additional","affiliation":[{"name":"Secci\u00f3n de Estudios de Posgrado e Investigaci\u00f3n, Instituto Polit\u00e9cnico Nacional, M\u00e9xico City, M\u00e9xico"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200567","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T13:37:18Z","timestamp":1600349838000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200567"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,15]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200567","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,15]]}}}