Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Group Face Recognition: Identifying and Tracking Multiple Individuals

Authors
M. Sri Durga1, *, N. Leelavathy2, K. Siva, B. V. N. Surya Prathap3, K. Sudheer Babu3, E. C. Alex Mondesir3
1PG StudentDept. of CSE, Godavari Institute of Engineering and Technology (A), Rajahmundry, A.P, India
2Professor, Dept. of CSE, Godavari Institute of Engineering and Technology (A), Rajahmundry, A.P, India
3UG Students, Dept. of CSE, Godavari Institute of Engineering and Technology (A), Rajahmundry, A.P, India
*Corresponding author. Email: sridurga815@gmail.com
Corresponding Author
M. Sri Durga
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_116How to use a DOI?
Keywords
Multiple Face Recognition; Face tracking; Robust tracking algorithm; Human- computer Interaction; Challenging Scenarios; Computer Vision Technology
Abstract

This project introduces a real-time multiple face recognition and tracking system. It utilizes a lightweight yet powerful deep learning model for face Recognition, ensuring efficient performance. The system incorporates a robust tracking algorithm to maintain face identities across video frames, making it ideal for applications like surveillance and human- computer interaction. Additionally, the system demonstrates its ability to accurately distinguish between identical faces, which is a challenging task for traditional face recognition systems. Through thorough evaluation, it demonstrates reliable performance even in challenging scenarios, underscoring its potential for various applications. The project signifies a significant advancement in real-time computer vision technology.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_116
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_116How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Sri Durga
AU  - N. Leelavathy
AU  - K. Siva
AU  - B. V. N. Surya Prathap
AU  - K. Sudheer Babu
AU  - E. C. Alex Mondesir
PY  - 2024
DA  - 2024/07/30
TI  - Group Face Recognition: Identifying and Tracking Multiple Individuals
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1209
EP  - 1218
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_116
DO  - 10.2991/978-94-6463-471-6_116
ID  - Durga2024
ER  -