"Low Resolution Face Recognition in Surveillance Systems"
written by Xiang Xu, Wanquan Liu, Ling Li,
published by Journal of Computer and Communications, Vol.2 No.2, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Face recognition in low-resolution surveillance video streams
2019
[2] Batch Attendance System Based on Face Recognition
2019
[3] Using deep learning algorithms to detect violent activities
2019
[4] Advanced facial recognition for digital forensics
2018
[5] The Design of a Multimedia-Forensic Analysis Tool (M-FAT)
2018
[6] Integrating Face Recognition Security System with the Internet of Things
2018
[7] Video Representation Learning for CCTV-Based Violence Detection
2018
[8] Face Recognition in Low Quality Images: A Survey
2018
[9] 3D Ear Biometrics and Surveillance Video Based Biometrics.
2017
[10] Fractional Bat and Multi-Kernel-Based Spherical SVM for Low Resolution Face Recognition
International Journal of Pattern Recognition and Artificial Intelligence, 2017
[11] Apšvietimo normalizavimo algoritmų tyrimas veidams atpažinti
2017
[12] Improving the quality of images obtained from CCTV cameras using matrix and frequency filters
2017
[13] 3D Ear Biometrics and Surveillance Video Based Biometrics
ProQuest Dissertations Publishing, 2017
[14] A novel multimedia-forensic analysis tool (M-FAT)
2017
[15] APŠVIETIMO NORMALIZAVIMO ALGORITMŲ TYRIMAS VEIDAMS ATPAŽINTI.
Science: Future of Lithuania, 2017
[16] Metode prepoznavanja obrazov ob nenadzorovanih pogojih zajema slik
2016
[17] Concatenation of Multiple Features for Face Recognition
Smart Trends in Information Technology and Computer Communications, 2016
[18] Low Resolution Sparse Binary Face Patterns
2016
[19] PERFORMANCE EVALUATION OF PHOTOMETRIC NORMALIZATION
2015