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视频图像的人脸检测方法 被引量:2

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摘要 根据视频序列图像的运动连续性特点,初步对人脸所在区域进行定位,针对人脸检测系统实时性的需要,改进了Adaboost学习算法。提出一种新的视频环境下人脸检测方法。实验证明该方法能够精确定位人脸,有较强的实用性。
出处 《电子技术应用》 北大核心 2006年第9期36-38,共3页 Application of Electronic Technique
基金 湖北省自然科学基金项目(2003ABA039)
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参考文献5

  • 1梁路宏,艾海舟,徐光祐,张钹.人脸检测研究综述[J].计算机学报,2002,25(5):449-458. 被引量:353
  • 2Freund Y, Schapire R E.Experiments with a new boosting algorithm.In : Proc the 13th conf on machine learning, San Frarrcisco, Morgan Kaufmann, 1996
  • 3Viola P,Jones M.Rapid object detection using a boosted cascade of simple features.IEEE conf on computer vision and pattern recognition, Kauai, Hawaii, USA, 2001
  • 4Papageorgiou C P, Oren M,Poggio T.A general framework for object detection.In:Proceeding of imternational conference on computer vision, Bombay, India, 1998
  • 5Bertran A ,Yu H Z, Sacchetto P.Face Detection Project Report.Computer Project for Digital Image Processing, EE368 Spring2001

二级参考文献61

  • 1Craw I, Ellis H, Lishman J. Automatic extraction of face features. Pattern Recognition Letters, 1987, 5(2):183-187
  • 2Yang G Z, Huang T S. Human face detection in a complex background. Pattern Recognition, 1994, 27(1):53-63
  • 3Dai Y, Nakano Y. Face-texture model based on SGLD and its application in face detection in a color scene. Pattern Recognition, 1996, 29(6):1007-1017
  • 4Kouzani A Z, He F, Sammut K. Commonsense knowledge-based face detection. In: Proc Conference on Intelligent Engineering Systems, Budapast, Hungary, 1997. 215-220
  • 5Garcia C, Tziritas G. Face detection using quantized skin color regions merging and wavelet packet analysis. IEEE Trans Multimedia, 1999, 1(3):264-277
  • 6Sun Q B, Huang W M, Wu J K. Face detection based on color and local symmetry information. In: Proc Conference Automatic Face and Gesture Recognition, Nara, Japan, 1998. 130-135
  • 7Kim S H, Kim H G. Face detection using multi-modal information. In: Proc Conference on Automatic Face and Gesture Recognition, Grenoble, France, 2000. 70-76
  • 8Govindaraju V, Srihari S N, Sher D B. A computational model for face location. In: Proc IEEE Conference on Computer Vision, Osaka, Japan, 1990. 718-721
  • 9Lam K M. A fast approach for detecting human faces in a complex background. In: Proc Symposium on Circuits and Systems, Monterey, 1998, 4:85-88
  • 10Yow K C, Cipolla R. A probabilistic framework for perceptual grouping of features for human face detection. In: Proc Conference on Automatic Face and Gesture Recognition, Killington, Vermont, USA, 1996. 16-21

共引文献352

同被引文献11

  • 1邓亚峰,苏光大,傅博.一种基于AdaBoost的快速动态人脸检测算法[J].计算机工程,2006,32(11):222-224. 被引量:18
  • 2郭瑞,张淑玲,汪小芬.人脸识别特征提取方法和相似度匹配方法研究[J].计算机工程,2006,32(11):225-227. 被引量:6
  • 3张婷,朱秋煜,朱军林.人脸识别考勤系统中有效人脸特征提取[J].上海大学学报(自然科学版),2006,12(3):244-248. 被引量:7
  • 4杜宇.基于Boosted Cascade算法的人脸检测和跟踪系统[J].电子科技,2006,19(7):67-70. 被引量:5
  • 5[1]P Viola,M Jones.Robust Real-time Object Detection Second International Workshop on Statistical and Computational Theories of Vision-Modeling,Learning,Computing,and Sampling[J].Vancouvex,Canada,2001,13:1-25.
  • 6庄楚强,吴亚森.应用数理统计基础[M].广州:华南理工大学出版社,2004.265~276.
  • 7Liu Xiaoming,Chen Tsuhan.Pose-robust face recognition using geometry assisted probabilistic modeling [J]. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2005:502-509.
  • 8Tan T, Yan H.Face recognition using the weighted fractal neighbor distance[J].IEEE Transactions on Systems,Man and Cybernetics:Part C,2005,35:576-582.
  • 9Basavaraj Amarapur, Nagaraj Patil.The facial features extraction for face recognition based on geometrical approach [C]. IEEE Electrical and Computer Engineering,2006:1936-1939.
  • 10Cristinacce D,Cootes T F.Facial feature detection and tracking with automatic template selection[J].Automatic Face and Gesture Recognition, 7th International Conference,2006:429-434.

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