@inproceedings{44ebcf4c1c7b4108a2761a9615cad733,
title = "Comparison of face detection and recognition algorithms in real-time video",
abstract = "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.",
keywords = "Computer vision, Image processing, Machine learning, Pattern recognition, Real-Time systems",
author = "Sanchez-Moreno, {Alejandra Sarahi} and Perez-Meana, {Hector Manuel} and Jesus Olivares-Mercado and Gabriel Sanchez-Perez and Karina Toscano-Medina",
note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press. All rights reserved.; 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2020 ; Conference date: 22-09-2020 Through 24-09-2020",
year = "2020",
month = sep,
day = "15",
doi = "10.3233/FAIA200567",
language = "Ingl{\'e}s",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "209--220",
editor = "Hamido Fujita and Ali Selamat and Sigeru Omatu",
booktitle = "Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 19th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2020",
}