Development of a Human Identification Software System in Real Time

Askar Boranbayev; Seilkhan Boranbayev; Mukhamedzhan Amirtaev; Malik Baimukhamedov; Askar Nurbekov

doi:10.1007/978-3-030-82196-8_56

Development of a Human Identification Software System in Real Time

Askar Boranbayev
, Seilkhan Boranbayev
, Mukhamedzhan Amirtaev
, Malik Baimukhamedov
, Askar Nurbekov

Nazarbayev University

L.N. Gumilyov Eurasian National University
Kostanay Socio-Technical University named after Academician Z. Aldamzhar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The article is devoted to the recognition and identification of a person in real time from a video stream. The methodology for creating a software system and the results of its testing are described. To build a software system for real-time face recognition, various Open Face modules and tools of the Open CV library were used. The HOG method was used to detect a human face. Using the image coding method, 128 face measurements were obtained. A convolutional neural network is used to identify human faces using the SVM linear classifier algorithm.

Original language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys
Editors	Kohei Arai
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	755-770
Number of pages	16
ISBN (Print)	9783030821951
DOIs	https://doi.org/10.1007/978-3-030-82196-8_56
Publication status	Published - 2022
Event	Intelligent Systems Conference, IntelliSys 2021 - Virtual, Online Duration: Sept 2 2021 → Sept 3 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	295
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent Systems Conference, IntelliSys 2021
City	Virtual, Online
Period	9/2/21 → 9/3/21

Funding

Acknowledgment. This research has been funded by Nazarbayev University (Social Policy Grant).

Keywords

Algorithm
Method
Neural network
Recognition
System

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-030-82196-8_56

Cite this

Boranbayev, A., Boranbayev, S., Amirtaev, M., Baimukhamedov, M., & Nurbekov, A. (2022). Development of a Human Identification Software System in Real Time. In K. Arai (Ed.), Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys (pp. 755-770). (Lecture Notes in Networks and Systems; Vol. 295). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82196-8_56

Development of a Human Identification Software System in Real Time. / Boranbayev, Askar; Boranbayev, Seilkhan; Amirtaev, Mukhamedzhan et al.
Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. p. 755-770 (Lecture Notes in Networks and Systems; Vol. 295).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boranbayev, A, Boranbayev, S, Amirtaev, M, Baimukhamedov, M & Nurbekov, A 2022, Development of a Human Identification Software System in Real Time. in K Arai (ed.), Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys. Lecture Notes in Networks and Systems, vol. 295, Springer Science and Business Media Deutschland GmbH, pp. 755-770, Intelligent Systems Conference, IntelliSys 2021, Virtual, Online, 9/2/21. https://doi.org/10.1007/978-3-030-82196-8_56

Boranbayev A, Boranbayev S, Amirtaev M, Baimukhamedov M, Nurbekov A. Development of a Human Identification Software System in Real Time. In Arai K, editor, Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys. Springer Science and Business Media Deutschland GmbH. 2022. p. 755-770. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-82196-8_56

Boranbayev, Askar ; Boranbayev, Seilkhan ; Amirtaev, Mukhamedzhan et al. / Development of a Human Identification Software System in Real Time. Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2022. pp. 755-770 (Lecture Notes in Networks and Systems).

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AB - The article is devoted to the recognition and identification of a person in real time from a video stream. The methodology for creating a software system and the results of its testing are described. To build a software system for real-time face recognition, various Open Face modules and tools of the Open CV library were used. The HOG method was used to detect a human face. Using the image coding method, 128 face measurements were obtained. A convolutional neural network is used to identify human faces using the SVM linear classifier algorithm.

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Development of a Human Identification Software System in Real Time

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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