[1]陈立阳,赵逢禹.基于深度学习的重叠人脸检测[J].计算机技术与发展,2020,30(02):28-32.[doi:10. 3969 / j. issn. 1673-629X. 2020. 02. 006]
　CHEN Li-yang,ZHAO Feng-yu.Overlapped Face Detection Based on Deep Learning[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2020,30(02):28-32.[doi:10. 3969 / j. issn. 1673-629X. 2020. 02. 006]
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基于深度学习的重叠人脸检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年02期
页码:
28-32
栏目:
智能、算法、系统工程
出版日期:
2020-02-10

文章信息/Info

Title:
Overlapped Face Detection Based on Deep Learning
文章编号:
1673-629X(2020)02-0028-05
作者:
陈立阳; 赵逢禹
上海理工大学 光电信息与计算机工程学院,上海 200093
Author(s):
CHEN Li-yang; ZHAO Feng-yu
School of Optoelectronic Information and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
关键词:
人脸检测; 肤色检测; 重叠人脸; 深度学习
Keywords:
face detection; skin color detection; overlapping faces; deep learning
分类号:
TP391.41
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 02. 006
摘要:
人脸检测在人机界面、安全系统、人脸识别、基于内容的图像检索等不同应用中起着重要作用。 随着计算机图像 技术的发展,人脸检测的方法也越来越多。 但是利用现有的人脸检测方法检测重叠人脸时,虽然能够检测出部分人脸,但 是相比于单人脸的检测,算法的效率和准确性都有所欠缺。 针对这个问题,提出了一种基于深度学习的重叠人脸检测方 法。 首先基于机器学习方法,构建出多个人脸特征分类器,然后再利用肤色检测的方法对分类器得到的候选人脸进行二 次检测,最后利用提出的一种 NMS算法对候选人脸进行进一步的处理,从而检测出精确的人脸。 为了验证算法的高效性 和准确性,进行了多个人脸检测算法的对比实验,结果表明,该算法在效率和准确性方面都有较大提高。
Abstract:
Face detection plays an important role in different applications such as human-machine interface,security system,face recognition and content-based image retrieval. With the development of computer image technology,there are more and more face detection methods. When detecting overlapping faces by the existing face detection methods,although partial faces can be detected,the efficiency and accuracy areinsufficient compared to the detection of single faces. Aiming at this problem,we propose an overlapping face detection method based on deep learning. Firstly,based on the machine learning method,a number of face feature classifiers are constructed,and then the candidate face obtained by the classifier is secondarily detected by the skin color detection method. Finally,the candidate face is further processed by using an NMS algorithm proposed in thispaper,so asto detect accuratefaces. In orderto verify the efficiency and accuracy of the algorithm,a comparative experiment of multiple face detection algorithms shows that the proposed algorithm has a great improvement in efficiency and accuracy.

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更新日期/Last Update: 2020-02-10