RESEARCH for face detection on improved algorithm of AdaBoost

被引：0
|
作者：
Chen, Hong [1 ]
机构：
[1] Guangan Vocat & Tech Coll, Dept Engn Technol & Informat, Guangan 638000, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRONIC, INFORMATION AND COMPUTER ENGINEERING | 2016年 / 44卷
关键词：
face detection; algorithm of AdaBoost; double threshold;
D O I：
10.1051/matecconf/20164401001
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Face detection is basic research in computer visual field, it has important application value in the fields of cameras and surveillance and Automatic face recognition. Because traditional algorithm of AdaBoost has the problem that it needs more features and the detection speed is slow when it is used to detect face, so a improved algorithm of AdaBoost is presented. The experiment results shows that compared with traditional algorithm of AdaBoost, lower features are used in the improved algorithm and higher accuracy rate can be get and the speed of detection is improved Significantly.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] An Improved AdaBoost Algorithm for Face Detection
    Shi, Jianguo
    Xu, Qingyun
    2022 INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMATION AND ELECTRICAL ENGINEERING, CMAEE, 2022, : 36 - 42
  • [2] Face detection based on the improved AdaBoost algorithm
    Li, Yingying, 1600, Binary Information Press (10):
  • [3] Improved Face Detection Algorithm Based on Adaboost
    Lang Li-ying
    Gu Wei-wei
    ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS, 2009, : 183 - 186
  • [4] Improved AdaBoost Algorithm for Face Detection and Its Application
    Zhao, Xin-chao
    Yuan, Jia-zheng
    Huang, Xian-kai
    Liu, Hong-zhe
    INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS AND ELECTRONIC ENGINEERING (CMEE 2016), 2016,
  • [5] Miner Face Detection is Based on Improved AdaBoost Algorithm
    Jiang, Chao
    Han, Gu-yong
    Tian, Lei
    Lu, Song
    Huang, Wei-xing
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 1616 - 1620
  • [6] An improved fast-AdaBoost face detection algorithm
    Zhao, Zhefeng
    Xie, Gang
    Chen, Zehua
    Qi, Guangjing
    Journal of Computational Information Systems, 2014, 10 (17): : 7233 - 7242
  • [7] An Improved Detection Algorithm of Face with Combining AdaBoost and SVM
    Jia Mingxing
    Du Junqiang
    Cheng Tao
    Yang Ning
    Jiang Yi
    Zhang Zhen
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 2459 - 2463
  • [8] Face Detection By Improved AdaBoost
    Huang, Tao
    Wang, Zhu
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 981 - 985
  • [9] Face Detection based on Improved Neural Network and Adaboost Algorithm
    Wang, Ziyang
    2017 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA), 2017, : 235 - 238
  • [10] Research Seatbelt Detection Algorithm Based on Improved Adaboost
    Xu, Jing
    MANUFACTURING, DESIGN SCIENCE AND INFORMATION ENGINEERING, VOLS I AND II, 2015, : 518 - 522
12345