期刊文献+

基于视频双截面的信号控制交叉口延误检测 被引量:11

Signal Control Intersection Delay Detecting Based on Video Double Section
在线阅读 下载PDF
导出
摘要 提出了基于视频双截面的交叉口延误检测方法.在交叉口适当的位置设置两个虚拟检测器,分别判定并记录车辆进入和离开交叉口的信息.在判断车辆进入交叉口时,对新进入交叉口的车辆提取车辆的斑块并进行匹配,如果连续8次斑块都匹配,则表示车辆被检测到;如果判定车辆进入交叉口,则使用车辆斑块和Mean-shift算法对车辆实时跟踪,直至车辆离开交叉口,通过记录车辆进入和离开的时间可以实时地提取车辆的延误参数.实例验证结果表明,基于双截面视频延误检测方法,实时延误的检测精度均值可以达到90%以上,同时,检测的流量精度均值可以达到95%以上. The paper introduces a new delay detection method based on the video double section trigger. Two virtual detectors were set to record the vehicles' arrival and departure information. Upon the vehicles' arrival of the intersection, the vehicles blobs were extracted to be tested whether the blobs could be matched. If the blobs could be matched for eight times successively, the new vehicle was thus detected. A real time tracking by the vehicle's stain and mean- shift algorithm would not stop until it departed, and parameters of delay were obtained. With the proposed method, over 90% of delay and more than 95% of the traffic flow precision can be detected on real time.
出处 《同济大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第7期1013-1018,共6页 Journal of Tongji University:Natural Science
基金 国家"八六三"高技术研究发展计划(2007AA11Z221) 重庆市教委科技项目(KJ110411) 国家自然科学基金(50808021)
关键词 交通工程 延误检测 视频 车辆跟踪 traffic engineering delay measurement video vehicle tracking
作者简介 第一作者:张惠玲(1980-),女,讲师,博士生,主要研究方向为交通仿真、交通检测技术.E-mail:huilingz@126.com 通讯作者:李克平(1960-),男,教授,博士生导师,主要研究方向为交通控制、交通仿真技术.E-mail:lisuntrc@126.com
  • 相关文献

参考文献13

  • 1全永燊.城市交通控制[M].北京:人民交通出版社,1989.55-129.
  • 2刘.基于青视频的交通参数检测系统研究[D].重庆:重庆大学光电工程学院,2009.
  • 3Gupte S, Masoud O, Martin R F K, et al. Detection and classification of vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2002 (3) : 37.
  • 4Kebab W, Dixon M P, Abdel-Rahim A. Field measurements of approach delay at signaled intersections using point data[J].Journal of the Transportation Research Board, 2007 (2027) : 37.
  • 5Ahmed Abdel Rahim, Michael Dixon, Li Weitung. Automated measurement of approach delay at signalized intersections: avehicle event-based method [C] // Transportation Research Board. Washington D C: National Research Council, 2009:09-1287.
  • 6Anuj Sharma, Darcy Bullock, James A Bonneson. Input-Output and hybrid techniques for the real time prediction of delay andmaximum queue length at a signalized intersection [C] // Transportation Research Board. Washington DC: NationalResearch Council,2007:07 - 0487.
  • 7ZHENG Jianyang, MA Xiaolei, WANG Yinhai, et al. Measuring signalized intersection performances in real-time with trafficsensors[C]//Transportation Research Board. Washington DC: National Research Council, 2009: 09 - 3119.
  • 8冉启武,杨建国,王兆安,王忠民.基于视频的车辆瞬时停车延误检测[J].西安交通大学学报,2007,41(6):692-696. 被引量:7
  • 9严宝杰.道路交通调查[M].北京:人民交通出版社,1994.
  • 10刘富强,张姗姗,朱文红,李志鹏.一种基于视觉的车道线检测与跟踪算法[J].同济大学学报(自然科学版),2010,38(2):223-229. 被引量:46

二级参考文献33

  • 1杨建国,尹旭全,方丽,李健,王兆安.基于自适应轮廓匹配的视频运动车辆检测和跟踪[J].西安交通大学学报,2005,39(4):351-355. 被引量:16
  • 2孙朝云,沙爱民,姚秋玲,张惠玲.沥青混合料图像阈值分割算法的实现[J].长安大学学报(自然科学版),2005,25(6):34-38. 被引量:28
  • 3Liu Mei Quan Taifan Yao Tianbin.Tracking maneuvering target based on neural fuzzy network with incremental neural leaning[J].Journal of Systems Engineering and Electronics,2006,17(2):343-349. 被引量:1
  • 4初秀民,严新平,毛喆,章先阵.高速公路场景图像的二值化及交通标志定位检测方法[J].中国公路学报,2006,19(6):102-106. 被引量:12
  • 5Kastrinaki V, Zervakis M, Kalaitzakis K. A survey of video processing techniques for traffic applications[J]. Image and Vision Computing,2003,21(1) :359.
  • 6Betke M,Haritaoglu E, Davis L S. Real-time multiple vehicle detection and tracking from a moving vehicle[J]. Machine Vision and Applications, 2000,12 ( 2 ) : 69.
  • 7Zhang J,Nagel H. Texture-based segmentation of road images [C] // Proceedings of IEEE, Symposium on Intelligent Vehicles. Piscataway: IEEE Press, 1994: 260 - 265.
  • 8Bertozzi M, Broggi A. GOLD.. a parallel real - time stereo vision system for generic obstacle and lane detection[J]. IEEE Transaction Image Processing, 1998,7(1 ) : 62.
  • 9Kreucher C, Lakshmanan S. LANA:a lane extraction algorithm that uses frequency domain features[J]. IEEE Transactions on Robotics and Automation, 1999,15 (2) : 343.
  • 10Ma B, Lakshmanan S, Hero A O. Simultaneous detection of lane and pavement boundaries using model-based multi-sensor fusion [J ]. IEEE Transaction Intelligent Transportation System, 2000,1 (2) : 135.

共引文献135

同被引文献95

引证文献11

二级引证文献38

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