期刊文献+

基于边界边缘检测的在线产品轮廓跟踪 被引量:2

Online Product Contour Tracking Based on Boundary Edge Selection
下载PDF
导出
摘要 产品流水线实时检测需有效解决流水线上运动产品的图像跟踪,提出仅选择在视频码流中跟踪目标的一个边界边缘来实现产品轮廓的跟踪。首先利用边缘运动去除背景,随后使用跟踪轮廓的正常方向导数选择边界边缘。准确跟踪是基于减少无关边缘的影响,因此仅选择边界边缘像素。使用边缘运动消除背景边缘需要计算跟踪目标的运动,同时移除边缘的运动和边缘与目标不同方向的运动,从而得到运动产品的轮廓。仿真实验结果表明,该跟踪方法对流水线上的产品有较好的跟踪效果,且具有较强的稳健性。 The real-time detection of moving products of assembly line, needing tracking effectively moving products, by selecting only tracked subject boundary edges in a video stream, is proposed. First,removing background edges using edge motion, selecting boundary edges using a normal direction derivative of the tracked contour. Accurate tracking is based on reduction of the effects of irrelevant edges, by only selecting boundary edge pixels. In or- der to remove background edges using edge motion, the tracked subject motion is computed and edge motions and edges having different motion directions from the subjects are removed. And moving product' s contour is obtained. Simulation results show that the method of tracking with complicated scene of texture on product line, has strong robustness.
作者 李白燕 张健
出处 《电视技术》 北大核心 2012年第21期40-42,共3页 Video Engineering
基金 河南省科技发展计划项目(112102310473) 河南省政府决策研究课题计划项目(2011B461)
关键词 目标轮廓跟踪 在线产品 边界边缘检测 边界边缘像素 轮廓正常方向 object contour tracking online product boundary edge selection contour normal direction
  • 相关文献

参考文献9

  • 1NERI A, COLONNESE S, RU-SO C,et al. Automatic moving object and background separatlon[J]. Signal Processing,1998,66(2) :219-232.
  • 2BARRON J, FLEET D, BEAUCHEMIN S. Performance of optical flow techniques[ J ]. International Journal of Computer Vision, 1994,12 ( 1 ) : 42 -77.
  • 3STAUFFER C, GRIMSON W E L. Adaptive background mixture models for real-time tracking[ C]//Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1999. Fort Collins, CO, USA : IEEE Press, 1999 : 246-252.
  • 4KASS M, WITKIN A, TERZOPOULOS D. Snakes : active contour models [J]. Int. J. Computer Vision,1987, I(4):321-331.
  • 5PETERFREUND N. Robust Ixacking of position and vel-ity with Kalman snakes [ J ]. IEEE Trans. Pattern Anal. Mach. Intell. , 1999, 21 ( 6 ) : 564-569.
  • 6FU Y,ERDEM A T,TEKALP A M. Tracking visible boundary of obj-ts using occlusion adaptive motion snake[J]. IEEE Trans. Image Process, 2000,9(12) :2051-2060.
  • 7PARAGIOS N, DERICHE R. Geodesic active contours and level sets for the detection and tracking of moving objects[J]. IEEE Trans. Pattern A- nal. Mach. Intell. , 2000,22(3) :266-280.
  • 8] NGUYEN H T,WORRING M,VAN DEN BOOMGAARD R,et al. Track- ing nonparmneterized object contours in video [ J ]. IEEE Trans. Image Process,2002,11 (9) : 1081-1091.
  • 9ROH M,KIM T,PARK J,et al. Accurate object contour tracking based on boundary edge selection[J]. Pattern Recognition ,2007 ,40(3) :931--943.

同被引文献1

  • 1蒋先刚.数字图像模式识别工程软件设计[M]{H}北京:中国水利水电出版社,2008.

引证文献2

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