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基于视频的车辆检测算法综述 被引量:25

Survey on Video Based Vehicle Detection Algorithms
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摘要 首先回顾了各种车辆检测方法,指出视频检测技术日益成为最具优势、最有发展潜力的检测方法。在此基础上,对各种基于视频的车辆检测算法分别进行了详细介绍,并给出了它们的性能比较。最后,本文提出了基于视频的车辆检测算法研究的难点及未来发展趋势。 In this paper ,we first reviewed different kinds of vehicle detection methods and pointed out that the video based detection technique is the most advantageous method. Then we introduced several of video based vehicle detection algorithms in detail and compared their performance. Finally, the difficulties and development trends of the video based vehicle detection algorithm research were presented.
作者 张晖 董育宁
出处 《南京邮电大学学报(自然科学版)》 EI 2007年第3期88-94,共7页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 教育部科学技术研究重点项目(205060) 江苏省自然科学基金(BK2005147)资助项目
关键词 智能交通系统 车辆检测算法 视频 intelligent transportation systems vehicle detection algorithms video
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  • 1沈庭芝 方子文.数字图像处理及模式识别[M].北京:北京理工大学出版社,1997.. 被引量:7
  • 2[1]Kameda Yoshinari. Minoh michihiko a human motion estimation method using 3-successive video frames[A]. In: Proceedings of International Conference on Virtual Systems and Multimedia[C],Gifu, Japan, 1996:135~140. 被引量:1
  • 3[2]Cucchiara R, Grana C, Piccardi M et al. Statistic and knowledge-based moving object detection in traffic scenes[A].In: Proceedings of the 3rd IEEE Conference on Intelligent Transportation Systems [C], Dearborn, Indiana, USA: IEEE Computer Society Press, 2000: 27 ~ 32. 被引量:1
  • 4[3]Francois A R J, Medioni G G. Adaptive color background modeling for real-time segmentation of video streams[A]. In:Proceedings of International Conference on Imaging Science,Systems, and Technology[C], Las Vegas,NA, USA, 1999: 227~232. 被引量:1
  • 5[4]Grimson W E L, Stauffer C, Romano R et al. Using adaptive tracking to classify and monitor activities in a site [A]. In: IEEE Conference on Computer Vision and Pattern Recognition[C],Santa Barbara,CA, USA, 1998:22~29. 被引量:1
  • 6[5]Stauffer C, Grimson W E L. Adaptive background mixture models for real-time tracking[A]. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition [C],Fort Collins ,Colorado, USA, 1999 : 2246~2252. 被引量:1
  • 7[6]Stauffer C, Grimson W E L. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2000,22 (8): 747~757. 被引量:1
  • 8[7]Cucchiara R, Grana C, Piccardi M et al. Improving shadow suppression in moving object detection with HSV color information [A]. In: Proceedings of IEEE Intelligent Transportation Systems Conference [C], Oakland, CA, USA,2001: 334~339. 被引量:1
  • 9Kilger, M. Video-Based Traffic Monitoring[C].International Conference on ImageProcessing and its Applications, 7-9 April 1992, Maastricht, Netherlands, pp89-92. 被引量:1
  • 10Dickinson, K.W. and R.C. Waterfall. Video ImageProcessing for Monitoring Road Traffic[C].IEE International Conference on Road Traffic Data Collection, 5-7 December 1984, pp. 105-109. 被引量:1

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