Single Shot Multi-Face Detection & Gender Recognition

Himanshu Vishwakarma, Gargi Verma, Smita Singh, A. Tiwari
{"title":"Single Shot Multi-Face Detection & Gender Recognition","authors":"Himanshu Vishwakarma, Gargi Verma, Smita Singh, A. Tiwari","doi":"10.2139/ssrn.3350305","DOIUrl":null,"url":null,"abstract":"The method is proposed single shot face detection and gender recognition using Convolutional Neural Network(CNN).<br><br>The proposed method is using the YOLO algorithm to detect the human face and make gender recognition. The face detection and gender recognition are very interesting since the past two decades. This can be used in future for the security purpose, biometric, digital cosmetic and many more. As human face is a dynamic object having a high degree of variability in its appearance, that make the face detection problem difficult in the computer vision task. The goal of this paper is to multiple face detection and its gender recognition in one shot of image is passed in the network and give the better performance in term of speed and accuracy.<br>","PeriodicalId":11894,"journal":{"name":"EngRN: Biomaterials (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EngRN: Biomaterials (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3350305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The method is proposed single shot face detection and gender recognition using Convolutional Neural Network(CNN).

The proposed method is using the YOLO algorithm to detect the human face and make gender recognition. The face detection and gender recognition are very interesting since the past two decades. This can be used in future for the security purpose, biometric, digital cosmetic and many more. As human face is a dynamic object having a high degree of variability in its appearance, that make the face detection problem difficult in the computer vision task. The goal of this paper is to multiple face detection and its gender recognition in one shot of image is passed in the network and give the better performance in term of speed and accuracy.
单镜头多人脸检测与性别识别
提出了一种基于卷积神经网络(CNN)的单镜头人脸检测和性别识别方法。该方法利用YOLO算法对人脸进行检测并进行性别识别。近二十年来,人脸检测和性别识别一直是人们关注的热点。这可以在未来用于安全目的,生物识别,数字美容等。由于人脸是一个动态的物体,其外观具有高度的可变性,这使得人脸检测问题在计算机视觉任务中变得非常困难。本文的目标是将多人脸检测及其在一张图像中的性别识别在网络中传递,并在速度和准确性方面给出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信