期刊文献+

驼峰溜放视频系统设计

Design of Hump Glide Video System
下载PDF
导出
摘要 设计了一个用于铁路编组站的驼峰溜放视频系统.通过对实时视频信号的检测自动获取驼峰机车溜放的速度,并随时将机车速度信息反馈给信号员,信号员根据反馈速度信息来调整溜放作业,以达到提高调车效率与安全性的目的.系统的软件架构采用调试运行两用框架,在此基础上设计系统功能和系统配置,并对该软件的测量车速和车长部分的算法进行了探讨. A hump glide video system applied to the railway marshalling station was devised. In this system the hump glide speed of the train can be automatically obtained from the real-time detection of the video signals. According to the feedback speed information of the train, the signaler can adjust the glide task to improve the switch efficiency and security. A debugging and run frame was applied to the software system. The system functions and system configuration were devised on the basis of the above frame. And some algorithms of detecting train speed and length were primarily discussed.
出处 《上海工程技术大学学报》 CAS 2008年第4期303-306,314,共5页 Journal of Shanghai University of Engineering Science
基金 上海市教育委员会科研创新项目(05NZ20)
关键词 视频检测 驼峰溜放 跟踪累积 video detection hump glide tracking accumulation
  • 相关文献

参考文献4

二级参考文献15

  • 1丁莉雅,刘济林.基于图像处理技术的智能火车字符识别系统[J].电视技术,2003,27(5):81-83. 被引量:4
  • 2Jitendra M,Stuart R.Final Report for Traffic Surveillance and Detection Technology Development[R].New Traffic Senor Technology,1996.
  • 3R De Maesschalck,D Jouan-Rimbaud,D L Massart.The mahalanobis distance[J].Chemometrics and Intelligent Laboratory System,2000,50(1):1-18.
  • 4Makito S,Hideto F,Kazuhiko S.A Robust Background Subtraction Method for Changing Background[A].Fifth IEEE Workshop On Applications of Computer Vision[C].California,USA,2000.207-213.
  • 5Velastin S A,Chengping Xu.Line and Circle Finding by The Weighted Mahalanobis Distance Transform and Extended Kalman Filtering[A].Industrial Electronics Symposium Proceedings[C].Santiago,Chile,1994.258-263.
  • 6Pajares G,Cruz J M,Lopez-Orozco J A.Stereo Matching Using Hebbian Learning[J].Systems,Man and Cybernetics,1999,29(4):553-559.
  • 7Kamei T.Face retrieval by an adaptive Mahalanobis distance using a confidence factor[A].Image Processing.Proceedings.2002 International Conference[C].New York,USA,2002.153-156.
  • 8D Gutchess,M Trajkovic,E Cohen-Solal,D Lyones,A k Jain.A Background Model Initialization Algorithm for Video Surveillance,Computer Vision[A].Proceedings.Eighth IEEE International Conference[C].Vancouver,Canade 2001,1:733-740.
  • 9N Friedman,S Russell.Image segmentation in video sequences:A probabilistic approach[A].Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence[C].1997.1-13.
  • 10Stauffer C,Grimson W E L.Adaptive background mixture models for real-time tracking,Computer Vision and Pattern Recognition[A].IEEE Computer Society Conference[C].Colorado USA,1999,2:246-252.

共引文献6

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