A Review and Construction of a Real-time Facial Recognition System


The evolution of surveillance technologies allows a reduction in human interaction with the process, since most of the monitoring functions performed by an individual can be replaced by detection and recognition techniques in real-time. This paper proposes the development of a surveillance system, which uses these techniques to identify individuals present within the field of view of camera. A combination of the Histogram of Oriented Gradient and Support Vector Machine techniques is applied for face detection, while a Residual Network is used during the stage of recognizing individuals. This shows the possibility of implementing this set of techniques, even in hardware with processing limitations.

Palavras-chave: Facial Recognition, HOG, SVM, ResNet, Raspberry


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TEIXEIRA, Eduardo H.; MAFRA, Samuel B.; RODRIGUES, Joel J. P. C.; DA SILVEIRA, Werner A. A. N.; DIALLO, Ousmane. A Review and Construction of a Real-time Facial Recognition System. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 12. , 2020, Cuiabá. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 191-200. ISSN 2595-6183. DOI: https://doi.org/10.5753/sbcup.2020.11225.