期刊文献+

Camshift算法中搜索区域像素筛选的研究与改进

Research and ImprovementconcerningPix Selecting at the Tracking Areas in CAMSHIFT Algorithm
下载PDF
导出
摘要 近年来Camshift由于具有对目标形变不敏感,实时性好等特点而倍受青睐。然而传统的camshift算法仍存在一些缺陷,由于图像质量等原因,需要对目标区域的像素进行选取,以消除这一干扰对生成的颜色直方图带来的误差,本文提出了对搜索窗口大小的调整设置保护措施以及采用自适应筛选阈值的方法防止上述问题。通过实验对比,相比于传统camshift算法,改进的cam-shift算法在对目标跟踪的稳定性和准确性方面有明显的提高,对背景的适应能力更强。 Camshift is a very wonderful object in tracking algorithm, due to the non-sensitive for the object deformation and the real-time characteristics.However, the pixels of the object area need to be fltered due to image quality issue. This paper proposed an adjustable size of the searching window that function according to an adaptive filter threshold method to protect the stability of tracking system that may affect by the disordered change of searching window. Verified by experimentation, compared to the traditional Camshift algorithm the improved algorithm significantly improvedthestability and accuracy of objecttracking.
作者 陈禹 梁宝生
出处 《软件》 2012年第5期12-14,共3页 Software
基金 山西省科技产业化环境建设项目(编号2010061023)
关键词 CAMSHIFT 目标跟踪 OPENCV Camshift Obj ecttracking OpenCV
  • 相关文献

参考文献6

二级参考文献11

  • 1江和平,陈洪光,李飚,沈振康.基于对应像素距离度量的图像匹配跟踪算法[J].弹道学报,2005,17(3):40-47. 被引量:7
  • 2马颂德 张正友.计算机视觉[M].北京:科学出版社,1998.72-80.
  • 3Bradski 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.
  • 4Boyle M.The Effects of Capture Conditions on the CAMSHIFT Face Tracker[R].Alberta,Canada:Department of Computer Science,University of Calgary,2001.
  • 5Liu Nianjun,Lovell,Brian C.MMX-Accelerated Real-Time Hand Tracking System[C].Dunedin,New Zealand:Proceedings IVCNZ,2001.381-385.
  • 6Intel Open Source Computer Vision Library Reference Manual[EB/OL].www.intel.com/research/mrl/research/opencv.
  • 7孙仲康,沈振康.数字图像处理及其应用.第一版.北京,国防工业出版社,1985年.
  • 8Zhang Zhijia ; Huang Shabai ; Shi Zelin ; A fast strategy for image matching using Hausdorff distance. Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on, Volume: 2,8-13 Oct. 2003 P:915-919.
  • 9Qong-Gyu Sim, Oh-Kyu Kwon, and Rae-Hong Park, Object Matching Algorithms Using Robust Hausdorff Distance Measures IEEE Transactions Image Processing, 1999 VOL. 8,P:425-429.
  • 10Montera D A,Rogers S K,Ruck D W,etal. Object tracking through adaptive correlation, [ J ] Optical engineering 1994. 33(1) P:294-301.

共引文献58

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部