期刊文献+

基于视频图像Harris角点检测的车型识别 被引量:9

Vehicle recognition method based on the Harris corner detector
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摘要 为了快速准确地进行车型识别,提出一种基于Harris角点检测的识别方法.该方法基于背景减法提取出运动车辆目标,并提取其Harris角点,选取轿车、客车及货车Harris角点作为标准样本,分别计算待识别车辆与3种标准样本Harris角点的Hausdorff距离,认定Hausdorff距离较小的两者具有相同的车型.实验结果表明,该方法准确、有效且实时性较好. To recognize the vehicles accurately and speedy, this paper presents a method based on Harris corner detection. This method obtains the accurate Harris corner of moving vehicles based on background subtract. It selects three Harris corners to denote three type of vehicles which are saloon car, passenger car and truck. Then calculates the distance of Hausdorff between the Harris corner and the three types of swatches which need to be recognized. The two whose distance of Hausdorff is smallest can be judged as the same type. Experiment results show that the method can get a high recognition precision with a better time-consuming.
出处 《扬州大学学报(自然科学版)》 CAS CSCD 2008年第1期67-70,共4页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学基金资助项目(20299030) 扬州大学自然科学基金资助项目(KK0313090)
关键词 HARRIS角点 HAUSDORFF距离 车型识别 Harris corner Hausdorff distance recognition of vehicle
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参考文献10

  • 1SIDLA O, PALETTA L, LYPETSKYY Y, Vehicle recognition for highway lane survey [C]//JOANNEUM R. The 7th International IEEE Conference on Intelligent Transportation Systems. Washington: [s.n.], 2004: 531- 536.
  • 2FORESTI G L, MURINO V. Vehicle recognition and tracking from roads image sequences [J]. IEEE Trans Veh Tech, 1999, 48(1): 301-318.
  • 3吴四九.图像目标形状匹配与视频过滤技术研究[J].成都信息工程学院学报,2002,17(2):97-100. 被引量:3
  • 4GUPTE S, MASOUD O. Detection and classification of vehicles [J]. IEEE Trans Intell Transp Syst, 2002, 3(1):37-47.
  • 5王运琼,游志胜.基于色差均值的快速车窗定位算法[J].计算机应用与软件,2004,21(1):78-79. 被引量:7
  • 6RAD R, JAMZAD M. Real time classification and tracking of multiple vehicles in highways[J]. PATT Recog Lett, 2005, 26(10): 1597-1607.
  • 7杜宇人,高浩军.基于车辆轮廓定位匹配的车型识别方法[J].扬州大学学报(自然科学版),2007,10(2):62-65. 被引量:13
  • 8HARRIS C, STEPHENS M. A combined corner and edge detector [C]//MATTHEWS M M. Proceedings of the Fourth Alvey Vision Conference. Manchester:the University of Sheffield Printing Unit, 1988; 147-151.
  • 9SCHIMID C, MOHR R, BAUCKHAGE C. Evaluation of interest point detectors [J]. Int J Comput Vision, 2000, 37(2):151-172.
  • 10张培良,许录平.基于Hausdorff距离的多分辨率目标跟踪方法[J].量子电子学报,2005,22(1):25-29. 被引量:5

二级参考文献21

  • 1刘直芳,徐欣,游志胜,曹刚.基于遗传算法的车窗定位[J].计算机应用研究,2002,19(11):72-74. 被引量:4
  • 2舒丽霞,周成平,彭晓明,丁明跃.基于Hausdorff距离图象配准方法研究[J].中国图象图形学报(A辑),2003,8(12):1412-1417. 被引量:27
  • 3张培良,许录平.基于Hausdorff距离的多分辨率目标跟踪方法[J].量子电子学报,2005,22(1):25-29. 被引量:5
  • 4高浩军,杜宇人.基于背景重建的序列图像车辆目标检测方法[J].扬州大学学报(自然科学版),2007,10(1):55-58. 被引量:6
  • 5罗申菲尔特 余英林等(译).数字图像处理[M].北京:人民邮电出版社,1996..
  • 6Huttenlocher D P, Klanderman G A, Ruchlidge W J. Comparing image using the Hausdorff distance [J]. IEEETran PAMI, 1993, 15(9): 850-863.
  • 7Meier Thomas, Ngan King N. Automatic segmentation of moving objects for video object plane generation [J].IEEE Transactions on Circuits and Systems for Video Technology, 1998, (5): 525-540.
  • 8Know Oh-Kyn, Sim Dong-gyn, Park Rae-Hong. Robust Hausdorff distance matching algorithms using Pyramidal structures [J]. Pattern Recognition, 2001, 34(7): 2005-2013.
  • 9Sim D G, Kwon O K, Park R H. Object matching algorithm using robust Hausdorff distance measures [J]. IEEE Trans. Image Process, 1999, 8(2): 425-429.
  • 10Borgerfors G. Distance transformations in digital images [J]. CVGIP, 1986, 34(3): 344-371.

共引文献23

同被引文献55

  • 1宋丹,徐蔚鸿.基于模糊理论的车型识别[J].计算机技术与发展,2006,16(3):47-49. 被引量:12
  • 2代科学,李国辉,涂丹,袁见.监控视频运动目标检测减背景技术的研究现状和展望[J].中国图象图形学报,2006,11(7):919-927. 被引量:169
  • 3才秀凤,马立肖,赵占芳.基于改进Hough变换的圆形物体检测[J].电脑开发与应用,2007,20(3):40-42. 被引量:4
  • 4翟乃斌,苏建,宋年秀,刘玉梅,陈友谊.基于不变矩的机器视觉车辆类型识别技术[J].武汉理工大学学报(信息与管理工程版),2007,29(4):7-10. 被引量:4
  • 5LI Jian, ZHAO Wang-zi, GUO Hui. Vehicle Type Recognition Based on Harris Comer Detector[ C ]//Proceedings of the 2nd In- ternational Conference on Transportation Engineering, ICTE, Chengdu, China,2009:3320 - 3325.
  • 6HARRIS C, STEPHENS M. A Combined Corner and Edge Detec- tor [ C]//Proceedings of the Fourth Alvey Vision Conference. Manchester: the University of Sheffield Printing Unit, 1988:147 -151.
  • 7LOWED. Distinctive Image Features from Scale-invariant Key- points [ J ]. International Journal of Computer Vision, 2004, 60 (2): 91-110.
  • 8XIA Li-min. Vehicle Shape Recovery and Recognition Using Ge- netic Models[ C]//Proceedings of the 4th World Congress on In- telligent Control and Automation, Shanghai, China, 2002:1055 - 1059.
  • 9STAUFFER C, GRIMSON W. Adaptive Background Mixture Mod- els for Real-time Tracking[ C ]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins:1999, 2:246 - 252.
  • 10CUCCHIARA R, GRANA C, PICCARDI M, et al. Improving Shadow Suppression in Moving Object Detection with HSV Color Information[ C ]//Proceedings of IEEE Intelligent Transportation Systems Conference, Oakland, US, 2001 : 334 - 339.

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