期刊文献+

虚拟线圈数对车流量统计模型影响的定量分析 被引量:1

虚拟线圈数对车流量统计模型影响的定量分析
下载PDF
导出
摘要 在定量分析虚拟线圈数目对车流量统计准确率影响因素基础上,采用简化的高斯混合模型进行背景提取,使用背景差法提取出前景信息,经过图像后处理进行车流量统计。最后,基于OpenCV采用C++语言编程实现了求解分析。 This paper aims at quantitative analysis of the influence of the number of virtual loops on the statistical accuracy for vehicle flow. Meanwhile, this paper uses simplified Gaussian mixture model for background extraction, and then uses the background subtraction method to extract the foreground information. After the image post-processing, the vehicle flow is to be calculated. Finally, OpenCV-based C++ language is used to program for solving and analysis algorithm.
出处 《信息通信》 2011年第6期53-54,共2页 Information & Communications
关键词 智能交通系统 虚拟线圈 车流量检测 OPENCV Intelligent Transport System virtual loop vehicle flow detection OpenCV
  • 相关文献

参考文献3

二级参考文献55

  • 1于跃龙,卢焕章.基于背景构造的视频对象分割技术[J].计算机工程与科学,2006,28(1):36-38. 被引量:4
  • 2侯志强,韩崇昭.视觉跟踪技术综述[J].自动化学报,2006,32(4):603-617. 被引量:254
  • 3刘洁,张东来.关于自适应高斯混合背景模型的更新算法的研究[J].微计算机信息,2006(08S):241-242. 被引量:23
  • 4Chen Y T, Chen C S,Huang C R,et al.Efficient hierarchical met- hod for background subtraction[J].Pattem Recognition,2007,40 (10):2706-2715.
  • 5Lee D S. Effective Gaussian mixture learning for video back- ground subtraction [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(5):827-832.
  • 6Zivkovic Z,Van Der Heijden F.Efficient adaptive density estima- tion per image pixel for the task of background subtraction[J]. Pattern Recognition Letters,2006,27(7):773-780.
  • 7Hu Weiming,Xiao Xuejuan,Xie Dan.Traffic accident prediction using 3-D model-based vehicle tracking[J]. IEEE Transactions on Vehicular Technology,2004,53(3):677-694.
  • 8Sohail Nadimi,Bir Bhanu.Physical models for moving shadow and object detection in video[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(8): 1079-1087.
  • 9Ji Xiaopeng,Wei Zhiqiang.Effective vehicle detection technique for traffic surveillance systems[J].Journal of Visual Communica- tion and Image Representation,2006(17):647-658.
  • 10Li Peihua,Zhang Tianwen,Ma Bo.Unscented Kalman filter for visual cure tracking[J].Realtime Image and Vision Computing, 2004,22(2): 157.

共引文献30

同被引文献9

引证文献1

二级引证文献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