Évf. 6 szám 1 (2019)

Articles

NI LabVIEW Based Camera System Used for Gait Detection

Megjelent:

2019-12-23

https://doi.org/10.17667/riim.2019.1/6.

Szerzők

Dániel Salánki Dániel,

University of Debrecen, Faculty of Engineering, Department of Mechatronics

Sarvajcz Kornél

University of Debrecen, Faculty of Engineering, Department of Mechatronics

Megtekintés

Pdf (Angol)

Kulcsszavak

camera system gait image identification integral calculus evaluation

Licenc

Copyright (c) 2019 by the authors

This work is licensed under a Creative Commons Attribution 4.0 International License.

Hogyan hivatkozzuk

Kiválasztott formátum: APA

Dániel Salánki, D., & Sarvajcz, K. (2019). NI LabVIEW Based Camera System Used for Gait Detection. Recent Innovations in Mechatronics, 6(1), 1-3. https://doi.org/10.17667/riim.2019.1/6.

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• ACM
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Absztrakt

In these times, with the development of the world, biometric identification systems are becoming more and more widespread. Access control systems, but even the most mid-range smartphones have biometric authentication features, and even ID cards can include a person's fingerprint. The research group previously realized a rudimentary gait recognition system, which was upgraded to a multicamera system with high-resolution cameras and instead of reference points, the new version recognizes different templates. The program can compare and evaluate the functions that are matched to the reference curve and the current curve in a specific way, whether two walking images are identical. The comparison is decided by the definite integrals of the two suited functions. The self-developed gait recognition system was tested by the research team on several test subjects and according to the results, permission was never given to a strange person.

Hivatkozások

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4. Wei Zeng, Cong Wang, „Neurocomputing - View-invariant gait recognition via deterministic learning,” ,175, pp. 324-335, 2016.
5. Salánki Dániel, Sarvajcz Kornél, Dr. Géza Husi: “Járásfelismerés fejlesztése NI LabVIEW környezetben”, Debrecen, University of Debrecen, Mechatronical Engineering BSc, thesis, 2018.
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