JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 28 Issue 3
May 2013
Article Contents
ZHOU Rong-qiang, QUAN Hai-yan, XIONG Zhi-wei and et al. Research of self-adaption gesture tracking algorithm based on the geometric moment[J]. Journal of Light Industry, 2013, 28(3): 51-55. doi: 10.3969/j.issn.2095-476X.2013.03.012
Citation: ZHOU Rong-qiang, QUAN Hai-yan, XIONG Zhi-wei and et al. Research of self-adaption gesture tracking algorithm based on the geometric moment[J]. Journal of Light Industry, 2013, 28(3): 51-55. doi: 10.3969/j.issn.2095-476X.2013.03.012 shu

Research of self-adaption gesture tracking algorithm based on the geometric moment

  • Received Date: 2013-01-13
    Available Online: 2013-05-15
  • A new algorithm was proposed which based on the Mean-Shift algorithm. This algorithm can automatically select tracking gestures by combining skin color detection with seeking maximum connected domain;it using image geometric moment to alternate the Mean-Shift vector, and can also effectively track gesture target and achieve the size of tracking window changing along with the gesture's change of size, angle and shape. The experimental results showed that the algorithm can successfully track the dynamic and deformable gestures and capture its trajectory in real time. This algorithm processes about 27 frames persecond, and can meet the real-time requirements.
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    1. [1]

      任海兵,祝远新,徐光佑,等.基于视觉手势识别的研究综述[J].电子学报,2000,28(2):118.

    2. [2]

      张秋余,胡建强,张墨逸.基于区域生长的Mean-Shift动态变形手势跟踪算法[J].模式识别与人工智能,2010,23(4):580.

    3. [3]

      Fukunaga K,Hostetler L.The estimation of the gradient of a density function,with applications in pattern recognition[J].IEEE Transaction on Information Theory,1975,21(1):32.

    4. [4]

      Comaniciu D,Ramesh V,Meer P.Kernel-based object tra-cking[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,2003,25(5):564.

    5. [5]

      Comaniciu D,Meet P.Mean shift:A robust approach toward feature space analysis[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,2002,24(5):603.

    6. [6]

      Peng N S,Yang J,Liu Z.Mean shift blob tracking with kernel histogram and hypothesis testing[J].Pattern Recognition Letters,2005,26(5):605.

    7. [7]

      Jeong M H.You B J,Oh Y,et a1.Adaptive Mean-Shift tracking with novel color model[C]//Proceedings of the IEEE International Cnnfcrence on Mechatronics and Automation,Piscataway:IEEE,2005:1329-1333.

    8. [8]

      张恒,李立春,于起峰.尺度方向自适应Mean-Shift跟踪算法[J].光学精密工程,2008,16(6):1133.

    9. [9]

      Birchfield T,Rangarajan S.Spatiograms versus histograms for region-based tracking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,San Diego:IEEE,2005:1158-1163.

    10. [10]

      Nummiaro K,Koller Meier E,Van Gool L V.An adaptive color-based particle filter[J].Image and Vision Computing,2003,21(1):992.

    11. [11]

      陈锻生,刘政凯.肤色检测技术综述[J].计算机学报,2006,29(2):194.

    12. [12]

      殷涛,葛元,王杯泉.基于几何矩的字母手势识别算法[J].计算机工程,2004,30(18):127.

    13. [13]

      桑茂栋,赵耀.基于几何矩的抵抗RST攻击的数字图像水印[J].电子与信息学报,2007,29(1):76.

    14. [14]

      李秀明,石照耀.基于不变矩的椭圆(圆)识别方法[J].北京工业大学学报,2007,33(11):1136.

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