Real-Time Biometric System for Security and Surveillance Using Face Recognition-Reference-Cited by-同舟云学术

Real-Time Biometric System for Security and Surveillance Using Face Recognition

Published:2020 Issue: Volume: Page:293-304
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Jaiswal Arvind,Tarar Sandhya

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6634-9_27

Reference26 articles.

1. Awais, M., et al.: Real-time surveillance through face recognition using HOG and feedforward neural networks. IEEE Access 7, 121236–121244 (2019)

2. Heng, W., Jiang, T., Gao, W.: How to assess the quality of compressed surveillance videos using face recognition. IEEE Trans. Circuits Syst. Video Technol. 29(8), 2229–2243 (2019)

3. Mokhayeri, F., Granger, E., Bilodeau, G.-A.: Domain-specific face synthesis for video face recognition from a single sample per person. IEEE Trans. Inf. Forensics Secur. 14(3), 757–772 (2009)

4. Mantoro, T., et al.: Multi-faces recognition process using Haar cascades and eigenface methods. In: 2018 6th International Conference on Multimedia Computing and Systems (ICMCS), pp. 1–5 (2018)

5. Mai, G., et al.: On the reconstruction of face images from deep face templates. IEEE Trans. Pattern Anal. Mach. Intell. 41(5), 1188–1202 (2019). https://doi.org/10.1109/TPAMI.2018.2827389

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