人脸识别技术在公安领域内的应用研究

doi:10.11896/j.issn.1002-137X.2016.11A.027

摘要/Abstract

摘要： 人脸识别技术在公安领域内已经取得了一定的成绩,通过主成分分析法、梳理投影图和特征描述相匹配法、面部对称处理还原法、等测地区域的三维面貌相似度评价法、构建隐马尔科夫模型等破获了多起案件。但在应用过程中,一些难题也更充分地显露出来,主要包括某些算法固有的缺陷被放大、理论研究与现实运用存在差距、缺乏专门的技术人员进行人脸识别系统研发与操作等。为构建以人脸识别技术为基础的公安工作系统,必须不断研发与改进算法,提高识别率；同时需要与其他技术相结合,提高严谨性,改善硬件条件以提供支撑,促进理论研究与实践应用的衔接,提高执法人员进行研发与操作的素质。

关键词: 人脸识别,技术应用,公安领域,算法

Abstract: The face recognition has made certain achievements in the practice of public security,which has used the methods of the principal component analysis,projection drawing and characterization matching,facial symmetry restoration,3D face similarity evaluation within iso-geodesic regions and hidden markov model.Some conundrums have been exposed more clearly,including inherent flaw of some algorithms,being magnified,gap between theoretical research and practical use,lack of specialized technical personnel for research and development and operation of the face recognition system.In order to build a complete and advanced public security system based on face recognition,the tasks such as developing algorithms to increase recognition rate,combining into other bio-recognizable technologies to enhance stringency,improving the hardware conditions to provide support,promoting convergence of theory research and practical application and training a team of specialized technical personnel along with improving the expertise and operational skills of the involving police-persons should be done.

Key words: Face recognition,Application of technology,Field of public security,Algorithm

肖军. 人脸识别技术在公安领域内的应用研究[J]. 计算机科学, 2016, 43(Z11): 127-132. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.027

XIAO Jun. Research on Application of Face Recognition in Area of Public Security[J]. Computer Science, 2016, 43(Z11): 127-132. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.027

参考文献

[1] 苏剑波,徐波.应用模式识别技术导论:人脸识别与语音识别[M].上海:上海交通大学出版社,2001
[2] Shapiro L G,Stockman G C.Computer Vision[M].Englewood Cliffs,NJ:Prentice-Hall,2001
[3] 沈理.人脸识别原理及算法:动态人脸识别系统研究[M].北京:人民邮电出版社,2014
[4] Kember S.Face Recognition and the Emergence of Smart Photography[J].Journal of Visual Culture,2014(2):182-199
[5] Kanade T.Picture Processing by Computer Complex and Recognition of Human Faces[D].Kyoto:Kyoto University,1973
[6] Lee Y H,Ahn H.Advanced Face Recognition and Verification in Mobile Platforms[J].Journal of Systems and Information Technology,2014(2):126-137
[7] Kakadiaris I,Passalis G,Toderici G,et al.Three-DimensionalFace Recognition in the Presence of Facial Expressions:An Annotated Deformable Model Approach[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2007(4):640-649
[8] Kemelmacher-Shlizerman I,Basri R.3D Face Reconstructionfrom a Single Image Using a Single Reference Face Shape[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011(2):394-405
[9] Passalis G,Perakis P,Theoharis T,et al.Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011(10):1938-1950
[10] Samaria F,Young S.HMM Based Architecture for Face Recognition[J].Image and Computer Vision,1994(8):537-543
[11] 王寻,赵怀勋.基于改进的肤色空间和几何特征的快速人脸检测研究[J].计算机应用与软件,2015(2):151-154
[12] 周威,毛力,赵鹏洋,等.基于MB_LBP和PCA算法的人脸识别研究[J].中国管理信息化,2016(13):181-182
[13] Hiremath P S,Hiremath M.3D Face Recognition Based On Radon Transform,PCA,LDA Using KNN and SVM[J].International Journal of Image Graphics and Signal Processing,2014,6(7):36-43
[14] Ghinea G,Kannan R,Kannaiyan S.Gradient-Orientation-Based PCA Subspace for Novel Face Recognition[J].IEEE Access,2014(2):914-920
[15] 胡敏艳,孙杳如.基于局部特征的三维人脸识别[J].现代计算机,2016(2):33-38
[16] 顾伟,刘文杰,朱忠浩,等.一种基于肤色模型和模板匹配的人脸检测算法[J].微型电脑应用,2014(7):13-16
[17] 陈宁,姚楚楚.基于图匹配的人脸识别算法[J].纺织高校基础科学学报,2016(1):105-109
[18] Shin H C,Park J H,Kim S D.Combination of Warping Robust Elastic Graph Matching and Kernel-Based Projection Discriminant Analysis for Face Recognition[J].IEEE Transactions on Multimedia,2007(6):1125-1136
[19] Feeza R,Mohamed K H.Convolutional Neural Network forFace Recognition with Pose and Illumination Variation[J].International Journal of Engineering and Technology,2014(1):44-57
[20] 陈耀丹,王连明.基于卷积神经网络的人脸识别方法[J].东北师大学报(自然科学版),2016(2):70-76
[21] Kasar M M,Bhattacharyya D,Kim T H.Face Recognition Using Neural Network:A Review[J].International Journal of Security and Its Applications,2016(3):81-100
[22] Turk M A,Pentland A P.Face recognition using eigenfaces[J].IEEE Computer Society Conference on Computer Vision and Pattern Recognition,1991(6):586-591
[23] Liu C,Shun H Y,Zhang C H.A two-step approach to hallucinating faces:Global parametric model and local nonparametric model[J].IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2001(1):192-198
[24] Nefian A V,M H H.Face detection and recognition using hidden Markov models[J].IEEE International Conference on Image Processing,1998(1):141-145
[25] Tu J L,Tao H,Huang T.Face as mouse through Visual facetracking[J].Computer Vision and Image Understanding,2010(1):35-40
[26] Gerard Medioni,Isaac Cohen.Event detection and analysis from video stream[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010(8):873-875
[27] Nefian A.A Hidden Markov Model-Based Approach for Face De-tection and Recognition[D].Georgia:Georgia Institute of Technology,1999
[28] Bobulski J.2DHMM-Based Face Recognition Method[J].Image Processing and Communications Challenges,2016(1):11-18
[29] Arya K V,Anukriti.Face recognition under partial occlusionusing HMM and Face Edge Length Model[R].The 9th International Conference on Industrial and Information Systems(ICIIS),2014
[30] 李忠健,杨宜民,梅平.基于改进的隐马尔科夫模型的人脸识别方法[J].工业控制计算机,2014(11):29-31
[31] William H,William T,Brian P.Numerical recipes in C:the art of scientific computing[M].New York:Cambridge University Press,1986
[32] Rowley H A,Baluja S,Kanade T.Neural Network-Based Face Detection[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,1998(1):23-38
[33] Raptis M,Kirovski D,Hoppe H.Real-time classification ofdance gestures from skeleton animation[J].Eurographics/ACM Siggraph Symposium on Computer Animation,2011(2):147-156
[34] Oluwatoyin P.Popoola,Kejun Wang.Video-Based AbnormalHuman Behavior Recognition—A Review[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C (Applications and Reviews),2012(6):865-878

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