Original title: Automated Human Recognition From Image Data
Authors: Dobiš, Lukáš
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper describes an approach for automated human recognition by using convolutional neural networks (CNN) to perform facial analysis of persons face from image data. The predicted biometric indicators are following: age, gender, facial landmarks and facial expression. Network architectures with pretrained weights for each task are described. Script of interconnected CNN is explained and its results support further proposed expansion plans for live video inference.
Keywords: age estimation; computer vision; convolution neural networks; deep learning; emotion classification; face detection; gender classification
Host item entry: Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers, ISBN 978-80-214-5867-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200562

Permalink: http://www.nusl.cz/ntk/nusl-447614


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers