车牌定位技术的比较与研究

下载PDF

导出

摘要在智能交通系统中,车牌定位和识别是重要环节之一,本文对目前已有的车牌定位技术进行比较和研究,以更好的研究高速、准确的定位方法。

作者禹定臣李白燕

机构地区黄淮学院信息工程学院

出处《无线互联科技》 2013年第4期158-158,共1页 Wireless Internet Technology

基金河南省科技发展计划项目(132102210479)

关键词车牌定位纹理特征神经网络边缘检测

参考文献1

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.

无线互联科技

2013年第4期

内容加载中请稍等...