A higher-order statistics-based approach to face detection

被引：0
|
作者：
Li, CM [1 ]
Li, YS [1 ]
Wu, RH [1 ]
Li, QM [1 ]
Zhuang, QD [1 ]
Zhang, Z [1 ]
机构：
[1] Xidian Univ, Inst Elect CAD, Xian 710071, Peoples R China
来源：
Electronic Imaging and Multimedia Technology IV | 2005年 / 5637卷
关键词：
face detection; high oder statistics; dynamics; image sequence; human faces; Sobel operator; projection function;
D O I：
10.1117/12.576564
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A face detection method based on higher order statistics is proposed in this paper. Firstly, the object model and noise model are established to extract moving object from the background according to the fact that higher order statistics is nonsense to Gaussian noise. Secondly, the improved Sobel operator is used to extract the edge image of moving object. And a projection function is used to detect the face in the edge image. Lastly, PCA(Principle Component Analysis) method is used to do face recognition. The performance of the system is evaluated on the real video sequences. It is shown that the proposed method is simple and robust to the detection of human faces in the video sequences.
引用
收藏
页码：241 / 248
页数：8
相关论文
共 50 条
  • [1] Face Recognition based on Higher-Order Statistics
    da Silva Neto, J. G.
    Caldeira, J. L. M.
    Ferreira, D. D.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (05) : 1508 - 1515
  • [2] Higher-order statistics-based deconvolution of ultrasonic nondestructive testing signals
    Yamani, A
    Bettayeb, M
    Ghouti, L
    PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1997, : 214 - 218
  • [3] A higher-order statistics-based virtual instrument for termite activity targeting
    Jose Gonzalez de la Rosa, Juan
    Camarero, Jose Melgar
    Bouaud, Stephane
    Ramiro, J. G.
    Munoz, Antonio Moreno
    ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL SPSMC: SIGNAL PROCESSING, SYSTEMS MODELING AND CONTROL, 2008, : 155 - +
  • [4] Speech stream detection based on higher-order statistics
    Shen, LR
    Li, XY
    Wei, W
    Zhang, RB
    Wang, HQ
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 3086 - 3089
  • [5] Interharmonic Detection and Identification based on Higher-Order Statistics
    Moreira, Mariana Geny
    Ferreira, Danton Diego
    Duque, Carlos Augusto
    PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP), 2016, : 679 - 684
  • [6] Signal detection with higher-order statistics
    Yang, CY
    Qu, JM
    Li, SH
    Mao, SY
    ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1996, : 545 - 548
  • [7] HIGHER-ORDER STATISTICS-BASED INPUT OUTPUT SYSTEM-IDENTIFICATION AND APPLICATION TO NOISE CANCELLATION
    GIANNAKIS, GB
    DANDAWATE, AV
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1991, 10 (04) : 485 - 511
  • [8] Detection of Hidden Information in Webpage Based on Higher-Order Statistics
    Huang, Huajun
    Tan, Junshan
    Sun, Xingming
    Liu, Lingxi
    DIGITAL WATERMARKING, 2009, 5450 : 293 - +
  • [9] On Interference Detection Using Higher-order Statistics
    Saad, Ahmad
    Staehle, Barbara
    Chen, Yun
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2015, : 943 - 947
  • [10] A higher order statistics-based adaptive algorithm for line enhancement
    Ibrahim, HM
    Gharieb, RR
    Hassan, MM
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (02) : 527 - 532
12345