KLI

Efficient Face Detector Using Spatial Attention Module in Real-Time Application on an Edge Device

Metadata Downloads
Abstract
The practical application requires a vision-based face detector to work in real-time. The robot application uses the face detection method as the initial process for the face analysis system. During its development, it utilizes an edge device to be used to process sensor information. Jetson Nano is a mini portable computer that is easily synchronized with sensors and actuators. However, traditional detectors can work fast on this device but have low performance for occlusion cases, multiple poses, and small faces. On the other hand, CNN-based detectors that implement deep layers are slow to run on low memory GPU devices. In this work, an efficient real-time face detector using a simple spatial attention module was developed to localize faces rapidly. The proposed architecture consists of the backbone module to efficiently extract features, the light connection module to reduce the size of the detection layer, and multi-scale detection to perform prediction of faces on various scales. As a result, the proposed detector achieves competitive performance from state-of-the-art fast detectors on several benchmark datasets. In addition, this efficient detector can run at 55 frames per second in video graphics array resolution on a Jetson Nano.
Author(s)
푸트로 무하마드 드위스난토웬 주이 린조강현
Issued Date
2021
Type
Article
Keyword
Efficient networkFace detectorJetson NanoReal-time application
DOI
10.1007/978-3-030-84522-3_67
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9162
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_springer_books_10_1007_978_3_030_84522_3_67&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Efficient%20Face%20Detector%20Using%20Spatial%20Attention%20Module%20in%20Real-Time%20Application%20on%20an%20Edge%20Device&offset=0&pcAvailability=true
Publisher
Lecture Notes in Computer Science
Location
스위스
Language
영어
ISSN
0302-9743
Citation Volume
12836
Citation Number
1
Citation Start Page
829
Citation End Page
841
Appears in Collections:
Engineering > IT Convergence
Authorize & License
  • Authorize공개
Files in This Item:
  • There are no files associated with this item.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.