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混合Kalman滤波器与Chamshift人脸跟踪算法的研究

The research of face tracking algorithm based on hybrid Kalman and Camshift filter
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摘要 文章通过Kalman滤波器预测由Camshift算法检测到的人脸窗口在下一帧图像可能出现的位置,进行下一帧图像的人脸跟踪.其中,Kalman滤波器的使用克服了单纯使用Cam-shift跟踪在遮挡或者丢失跟踪物体的不足,可以大大提高人脸跟踪的正确率. By predicting the face window＇ s possible location in the next frame by Kalman filter algorithm the human face by the Camshift was traced. The new algorithm overcomes missing objects when tracking or blocking, greatly improving the accuracy of face tracking.
作者 胡章芳 杨麟
机构地区 重庆邮电大学智能系统及机器人研究所
出处 《重庆文理学院学报（社会科学版）》 2013年第3期77-80,共4页 Journal of Chongqing University of Arts and Sciences（Social Sciences Edition)
基金 重庆市教委2011年度科学技术研究项目(KJ110518)
关键词 CAMSHIFT算法 人脸跟踪 KALMAN滤波器 Camshift algorithm face tracking kalman filter
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献9

  • 1TIAN Gang, HU Ruimin, WANG Zhongyuan, et al. Object tracking algorithm based on meanshift algorithm com- bining with motion vector analysis[C]. 2009 First International Workshop on Education Technology and Computer Science, 7 - 8 March 2009, Wuhan :987 - 990.
  • 2Liu Qiang, Cai Canhui, et al. Camshift based real -time muhiple faces match tracking[ C ]. Proceedings of 2007 International Symposium on Intelligent Signal Pro- cessing and Communication Systems , Nov. 28 - Dec. 1, 2007 Xiamen, China :726 - 729.
  • 3Nummiaro K, Koller - Meier E, L Van Gool. Color fea- tures for tracking non -rigid objects[ J]. Special Issue on Visual Surveillance, Chinese Journal of Automation, 2003, 29 ( 3 ) :345 - 355.
  • 4Yin Jianqin, Han Yanbin, Li Jinping, et al. Research on real - time object tracking by improved camshift[ C ]. Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on 18 -20 Jan. Wuhan :2009 .
  • 5Chu Hongxia, Ye Shujiang, Guo Qingchang, et al. Object tracking algorithm based on camshift algorithm combinating with difference in frame [ C ]. Proceedings of the IEEE International Conference on Automation and Logistics August 18 - 21, 2007, Ji' nan:51 - 55.
  • 6Wei Baoguo, Li Jing. Object tracking via modified camshift in sequential bayesian filtering framework [C]. 2010 3rd International Congress on Image and Signal Processing ( CISP2010), Oct 18 - 20, Yantai, Shandong : 358 - 362.
  • 7WU Xian, LI Lihong, JianHuang, et al. A framework of face tracking with classification using eamshift - C and LBP [ C ]. 2009 Fifth International Conference on Image and Graphics, Sep. 21 - 24, Xi' an:217 - 222.
  • 8杨建喜,蒋华.一种基于Kalman滤波器的低复杂度信道估计算法[J].重庆邮电大学学报（自然科学版）,2008,20(4):387-390. 被引量：2
  • 9刘瑞祯,于仕琪.Open CV教程(基础篇)[M].北京:北京航空航天大学出版社,2008.

二级参考文献7

  • 1ZHANG Yi GU Jian YANG Da-cheng.Channel estimation in TDD mode[J].The Journal of China Universities of Posts and Telecommunications,2006,13(3):34-37. 被引量：4
  • 2[1]PEI Xiao,STROM E,CARRASCO R.Estimation of Time-Varying Multipath Rayleigh Fading Channels in Asynehronous DS-CDMA Systems:Personal,Indoor and Mobile Radio Communications,2004.PIMRC 2004.15th IEEE International Symposium on[C].[s.l.]:[S.n.],2004.
  • 3[2]ITU-R F.1487:Testing of HF modems with bandwidths of up to about 12KHz using ionospheric channel simulators[S].[S.l.]:ITU,2000.[3]ITU-R F.520(withdraw):Use of high frequency ionospheric channel simulators[s].[S.L]:ITU,1992.
  • 4[4]GODARD D.Channel Equalization Using a Kalman Filter for Fast Data Transmission[J].IBM J.Res.Devel.op.,1974,(5):267-273.
  • 5[5]VASEGHI S V.Advanced Digital Signal Processing and Noise Reduction[M].2ed.[S.l.]:JOHN WILEY&SONS,LTD,2000.
  • 6[9]ITU-R F.520(withdraw):Use of high frequency ionospheric channel simulators[S].[s.l.]:ITU,1992.
  • 7[10]ITU-R F.1487:Testing of HF modems with bandwidths of up to about 12KHz using ionospheric channel simulatots[S].[s.l.]:ITU,2000.

共引文献1

重庆文理学院学报（社会科学版）
2013年 第3期

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