Low-Cost Camera-Based Smart Surveillance System for Detecting, Recognizing, and Tracking Masked Human Face
Dublin Core
Title
Low-Cost Camera-Based Smart Surveillance System for Detecting, Recognizing, and Tracking Masked Human Face
Subject
surveillance system
face detection
face recognition
face tracking
low-cost camera
face mask.
Description
A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile camera. It raises the challenge of unstructured image/video where the video contains low quality, blur, and variations of human poses. The challenge is increasing because people used to wear a mask during the Covid -19 pandemic. Therefore, we proposed developing an all-in-one surveillance system with face detection, recognition, and face tracking capabilities. This system integrated three modules: MTCNN face detector, VGGFace2 face recognition, and Discriminative Single-Shot Segmentation (D3S) tracker to create a system capable of tracking the faces of people caught on surveillance camera. We also train new face mask data to recognize and track. This system obtains data from the Raspberry Pi camera and processes images on the cloud as a mobile sensor approach. The proposed system successfully implemented and obtained competitive results in detection, recognition, and tracking under an unconstrained surveillance camera.
Creator
Haryadi, Ervan Adiwijaya
Jati, Grafika
Husodo, Ario Yudo
Jatmiko, Wisnu
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 104-119
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-12-08
Rights
Copyright (c) 2021 Ervan Adiwijaya Haryadi, Grafika Jati, Ario Yudo Husodo, Wisnu Jatmiko
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Ervan Haryadi Adiwijaya et al., Low-Cost Camera-Based Smart Surveillance System for Detecting, Recognizing, and Tracking Masked Human Face, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 6, 2024, https://igi.indrastra.com/items/show/2024