Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems

Author:

Kutlugün Mehmet AliORCID,Şirin YahyaORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference46 articles.

1. Abu-El-Haija S, et al. (2016) Youtube-8m: A large-scale video classification benchmark. arXiv preprint arXiv:1609.08675

2. Al Machot F, Ali M, Haj Mosa A, Schwarzlmüller C, Gutmann M, Kyamakya K (2019) Real-time raindrop detection based on cellular neural networks for ADAS. J Real-Time Image Proc 16(4):931–943

3. Amos B, Ludwiczuk B, Satyanarayanan M (2016) Openface: A general-purpose face recognition library with mobile applications, CMU School of Computer Science, Tech. Rep., CMU-CS-16-118.

4. Ananthakumar A (2018) Efficient face and gesture recognition for time sensitive application. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), IEEE, pp.117-120.

5. Atik M, Duran Z (2020) 3D face recognition and accuracy analysis using local feature-based methods. J Fac Eng Archit Gazi Univ 36(1):359–372

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