Surveillance video face recognition with single sample per person based on 3D modeling and blurring

X Hu, S Peng, L Wang, Z Yang, Z Li - Neurocomputing, 2017 - Elsevier
Video surveillance has attracted more and more interests in the last decade, video-based
Face Recognition (FR) therefore became an important task. However, the surveillance …

Video surveillance face recognition by more virtual training samples based on 3D modeling

X Hu, Q Liao, S Peng - 2015 11th International Conference on …, 2015 - ieeexplore.ieee.org
Video surveillance has been applied in more and more fields for security in last decade
years, video-based face recognition therefore became an important task of an intelligent …

Multi-step face recognition for improving face detection and recognition rate

A Altayeva, B Omarov, HC Jeong, YI Cho - 2016 - scholarworks.bwise.kr
Face detection at a distance is difficult owing to low-resolution images and blurring. For this
reason, the traditional face recognition process has a low face detection rate and face …

Face recognition using 3d cnns

NK Mishra, SK Singh - Data science, 2021 - Springer
The area of face recognition is one of the most widely researched areas in the domain of
computer vision and biometric. This is because the non-intrusive nature of face biometric …

A robust face recognition method for occluded and low-resolution images

H Ullah, MU Haq, S Khattak, GZ Khan… - … on Applied and …, 2019 - ieeexplore.ieee.org
Face images that appear in multimedia applications, such as digital entertainments usually
exhibit dramatic nonuniform illumination, occlusions, low-resolution, and pose/expression …

Open-set single-sample face recognition in video surveillance using fuzzy ARTMAP

WNI Al-Obaydy, SA Suandi - Neural Computing and Applications, 2020 - Springer
Single-sample face recognition has been investigated by a few researches over the past few
decades. However, due to the demand of identity of interest searching from video …

[PDF][PDF] Multi-object face recognition using local binary pattern histogram and haar cascade classifier on low-resolution images

RR Isnanto, AF Rochim, D Eridani, GD Cahyono - 2021 - doc-pak.undip.ac.id
This study aims to build a face recognition prototype that can recognize multiple face objects
within one frame. The proposed method uses a local binary pattern histogram and Haar …

Face recognition in real-world surveillance videos with deep learning method

Y Wang, T Bao, C Ding, M Zhu - 2017 2nd international …, 2017 - ieeexplore.ieee.org
Robust face recognition in real-world surveillance videos is a challenging but important
issue due to the needs of practical applications such as security monitoring. While current …

A survey on face recognition in video surveillance

VD Ambeth Kumar, S Ramya, H Divakar… - Proceedings of the …, 2019 - Springer
In today's world, enormous amount of threats arises due to terrorists, criminals, thieves and
also illegal access of the data from the unwanted person, etc. This leads to a lot of …

Advancements in Real-Time Face Recognition Algorithms for Enhanced Smart Video Surveillance

S Kanagamalliga, R Abishek, BBS Krishna… - Procedia Computer …, 2023 - Elsevier
Smart video surveillance systems are essential for guaranteeing security in a variety of
settings. The capacity to recognize and follow people of interest inside video feeds is made …