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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