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基于Camshift算法的光笔投射点的实时跟踪

Real-time tracking of shoot point from light pen based on Camshift
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摘要 为实现对光笔投射点的实时跟踪,采用了Camshift跟踪算法,但是该算法在动态复杂背景及在颜色相似的背景区域中不能很好地进行跟踪。因此,提出了改进方法。首先,引入红色滤镜,以此改变Camshift算法颜色特征提取的效果,从而削弱了背景的影响,突出了目标,很好地克服了背景中的颜色干扰,使动态复杂背景下光笔投射点的跟踪具有较高的鲁棒性和实时性;然后通过改变区域选择方式,达到了自动跟踪的效果;最后,通过OpenCV实现了对光笔投射点的实时跟踪。实验结果表明,该方法在光笔投射点实时跟踪上是十分有效的。 To realize the real-time tracking of the shoot point from light pen,the Camshift tracking algorithm is chosen,but it is difficult to track the point with dynamic and complicated background and in case that there is similar color with the shoot point. So,an improved method is proposed.Firstly,a red filter which weakens the effect of background,and makes the object prominent is introduced to improve the effect of color extraction based on Camshift algorithm.The red filter makes the algorithm overcome disturbance of the background color,and makes the tracking of the shoot point with high real-time performance and strong robustness.Then the automatic tracking of the shoot point from light pen is realized by changing the manner of selecting region.Finally,the real-time tracking of the shoot point from light pen using OpenCV is realized.The experimental results indicate that color object is efficiently tracked even with dynamic and complicated background by the new method which is presented.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第29期168-170,共3页 Computer Engineering and Applications
关键词 光笔 实时跟踪 CAMSHIFT跟踪算法 红色滤镜 跨平台的计算机视觉库(OpenCV) light pen real-time tracking Continuously adaptive mean shift(Camshift) red filter Open Source Computer Vision Library(OpenCV)
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  • 1马颂德 张正友.计算机视觉[M].北京:科学出版社,1998.72-80.
  • 2CIPOLLA R, HOLLING HURST N J. Human robot interface by pointing with uncalibrated stereo vision[J]. Image and Vision Computing, 1993(14): 171-178.
  • 3陶霖密 彭振云 徐光祐.人体肤色特征[J].软件学报,2000,11(1):1033-1043.
  • 4HYEON KYU LEE, JIN H KIM. An HMM-based threshold model approach for gesture recognition [ J ]. IEEE, Pattern Analysis and Machine Intelligence, 1999, 21(10): 961-973.
  • 5Bradski G R.Computer Video Face Tracking for use in a Perceptual User Interface[EB/OL].http://developer.intel.com/technology/itj/ q21998/pdf/camshift.pdf.
  • 6Boyle M.The Effects of Capture Conditions on the CAMSHIFT Face Tracker[R].Alberta,Canada:Department of Computer Science,University of Calgary,2001.
  • 7Liu Nianjun,Lovell,Brian C.MMX-Accelerated Real-Time Hand Tracking System[C].Dunedin,New Zealand:Proceedings IVCNZ,2001.381-385.
  • 8Intel Open Source Computer Vision Library Reference Manual[EB/OL].www.intel.com/research/mrl/research/opencv.
  • 9Comaniciu D,Ramesh V,and Meer R.Real-time tracking of non-rigid objects using mean shift[A].Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition[C],Dublin,Ireland,2000,2:142-149.
  • 10Bradski G R.Computer vision face tracking for use in a perceptual user interface[J].Intel Technology Journal,1998,2:214-219.

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