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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2019 Vol.9(2): 189-194 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2019.9.2.785

Small Face Detection Using Deep Learning on Surveillance Videos

Rolando J. Cárdenas, Cesar A. Beltrán, and Juan C. Gutiérrez
Abstract—Face detection is one of the essential tasks widely studied in the field of Computer Vision. Several authors have developed different techniques to improve the face detection in images, but these are limited in their application on videos and more if they present low resolution. In this study, we propose a new model for face detection in low-resolution videos based on the morphology of the upper body of people, and the use of Deep Learning (CNN). Our results show an average of 39% accuracy over the Caviar dataset and 32% in the UCSP dataset. Compared with other techniques, our results are greater due they only reach 1% of accuracy.

Index Terms—Deep learning, face detection, low resolution, video.

Rolando J. Cárdenas and Juan C. Gutiérrez are with National University of San Agustin – UNSA, Arequipa, Peru (e-mail: jecardenast200@gmail.com, jcgutierrezc@gmail.com).
Cesar A. Beltrán is Pontificia Universidad Católica del Perú – PUCP, Artificial Intelligence Research Group (IA-PUCP), Lima, Peru (e-mail: cbeltran@pucp.pe).

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Cite: Rolando J. Cárdenas, Cesar A. Beltrán, and Juan C. Gutiérrez, "Small Face Detection Using Deep Learning on Surveillance Videos," International Journal of Machine Learning and Computing vol. 9, no. 2, pp. 189-194, 2019.

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E-mail: ijmlc@ejournal.net