Face Detection, Tracking and Recognition With Artificial Intelligence

Loading...
Publication Logo

Date

2021

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Due to the COVID-19 pandemic, the face masks are mandatory everywhere so it might be beneficial to automatize the detection and tracking of whether people wear a mask or not with the help of the computer vision. Furthermore, it can be implemented on mobile robots as well. Additionally, face recognition of people is discussed with two different techniques which are based on neural networks and eigenface approach in this study. Hence, a complete system which can be used with mobile platforms has been achieved with the proposed procedure. © 2021 IEEE.

Description

3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2021 -- 11 June 2021 through 13 June 2021 -- 171163

Keywords

detection, neural networks, tracking, Agricultural robots, Human computer interaction, Robotics, Complete system, Detection and tracking, Eigenface approach, Face masks, Mobile platform, Face recognition

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

N/A

Scopus Q

N/A
OpenCitations Logo
OpenCitations Citation Count
1

Source

HORA 2021 - 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings

Volume

Issue

Start Page

1

End Page

5
PlumX Metrics
Citations

Scopus : 4

Captures

Mendeley Readers : 14

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.3843

Sustainable Development Goals