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Targeted Face Recognition and Alarm Generation for Security Surveillance using Single Shot Multibox Detector (SSD)

by K. M. Tawsik Jawad, Maisha Binte Rashid, Nazmus Sakib
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 22
Year of Publication: 2019
Authors: K. M. Tawsik Jawad, Maisha Binte Rashid, Nazmus Sakib
10.5120/ijca2019919652

K. M. Tawsik Jawad, Maisha Binte Rashid, Nazmus Sakib . Targeted Face Recognition and Alarm Generation for Security Surveillance using Single Shot Multibox Detector (SSD). International Journal of Computer Applications. 177, 22 ( Dec 2019), 8-13. DOI=10.5120/ijca2019919652

@article{ 10.5120/ijca2019919652,
author = { K. M. Tawsik Jawad, Maisha Binte Rashid, Nazmus Sakib },
title = { Targeted Face Recognition and Alarm Generation for Security Surveillance using Single Shot Multibox Detector (SSD) },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2019 },
volume = { 177 },
number = { 22 },
month = { Dec },
year = { 2019 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number22/31027-2019919652/ },
doi = { 10.5120/ijca2019919652 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:49:04.578076+05:30
%A K. M. Tawsik Jawad
%A Maisha Binte Rashid
%A Nazmus Sakib
%T Targeted Face Recognition and Alarm Generation for Security Surveillance using Single Shot Multibox Detector (SSD)
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 22
%P 8-13
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition has been considered as one of the most important means of security in prevention of crimes in this era. Surveillance cameras in crowded areas keeps good monitoring of all activities. So, it can be used as a witness against criminals or can be used to prevent crimes before happening. With the advancement in deep neural networks in surveillance cameras, face recognition accuracy has increased in challenging environments too. But this country is still lagging behind in this regard. So, the proposed work focuses mainly on face recognition with custom Bangladeshi dataset that can be robust enough against blurriness, pose variations and occlusions. Single Shot Multibox Detector (SSD) model was chosen since it produced significant improvement in accuracy compared to many state of the art models. Tensorflow API was used with SSD-Mobilenet-FPN model config to generate alarms when targeted face was recognized among many faces in crowd.

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Index Terms

Computer Science
Information Sciences

Keywords

Bangladeshi Face Dataset Targeted Face Recognition Single Shot Multibox Detector Tensorflow API Alarm.

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