期刊文献+

基于背景模型的运动目标检测与跟踪 被引量:10

Background Model-Based Moving Object Detection and Tracking
下载PDF
导出
摘要 运动目标检测与跟踪是判断视频序列中是否存在运动目标及监控运动目标时空变化和运动轨迹。基于背景模型的运动目标检测与跟踪是有效的手段,设定阈值对当前帧图像与已有背景图像相减的差分图像进行检测跟踪操作,检测准确且速度快,阈值操作后直接给出运动目标的位置、大小、形状等信息。 Moving object detection and tracking is used to judge in the video frequency sequence whether has the moving object and trace the path. Background Model-based moving object detection and tracking is a useful technology, it use threshold value to judge whether a pixel in the difference picture belong to foreground or background. The examination accurate and quickly, and directly produced movement information of the object.
作者 尹彦 耿兆丰
出处 《微计算机信息》 北大核心 2008年第16期298-300,共3页 Control & Automation
关键词 运动目标检测 运动目标跟踪 背景模型 计算机视觉 Moving Object Detection Moving Object Tracking Background Models Computer Vision
  • 相关文献

参考文献4

二级参考文献21

  • 1OMRON公司.《传感器综合样本》[Z].,2001年..
  • 2Kenneth R Castlemen著 朱志刚等译.《数字图像处理》[M].北京:电子工业出版社,2002年..
  • 3王林 沈立纬.《视觉检查系统在烟草行业的应用》[M].,2001年..
  • 4OMRON 公司 F-150-3 Vision Sensor Manual 1: SETUP MANUAL 2000年
  • 5C Wren, A Azarbayejani, T Darrell, A Pentland. Pfinder: Real-time Tracking of the Human Body. IEEE Trans. PAMI, 1997,19(7):780~785
  • 6T Olson, F Brill. Moving Object Detection and Event Recognition Algorithms for Smart Cameras. Proc. DARPA Image Understanding Workshop, May 1997
  • 7I Haritaoglu, D Harwood, L S Davis. W4: Rea-Time Surveillance of People and Their Activities. IEEE Trans. PAMI, 2000,22(8):809~830
  • 8C Stauffer, W E L Grimson. Learning Patterns of Activity Using Real-Time Tracking. IEEE Trans. PAMI, 2000,22(8):747~757
  • 9R T Collins, A J Lipton, T Kanade. A System for Video Surveillance and Monitoring. Proc. Am. Nuclear Soc.(ANS) Eighth Int'l Topical Meeting Robotic and Remote Systems, Apr. 1999
  • 10C Anderson, P Burt, G Can der Wal. Change Detection and Tracking Using Pyramid Transformatin techniques. Proc. SPIE-Intelligent Robots and Computer Vision, 1985,(579):72~78

共引文献176

同被引文献53

  • 1陈凤东,洪炳镕.基于动态阈值背景差分算法的目标检测方法[J].哈尔滨工业大学学报,2005,37(7):883-884. 被引量:43
  • 2马桂珍,朱玲赞,段丽.基于OpenCV的视频应用程序的开发方法[J].现代电子技术,2007,30(4):78-79. 被引量:15
  • 3张凯.视频运动检测算法的研究和分析[J].辽宁工学院学报,2007,27(1):26-28. 被引量:8
  • 4陈育荣,杨旭东,谢铁邦.一种高精度非接触式位移传感器及其应用[J].计量技术,2007(7):7-11. 被引量:3
  • 5王彪,王成儒,王芬芬.一种改进的运动目标检测算法[C]//计算机技术与应用进展·2007:全国第18届计算机技术与应用(CACIS)学术会议论文集,2007.
  • 6冈萨雷斯.数字图像处理[M].电子工业出版社.2004.
  • 7D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):564 - 577, May 2003.
  • 8Ruijiang Luo, Liyuan Li, Weimin Huang, Qibin Sun. Multi- Strategy Object Tracking in Complex Situation for Video Surveillance.IEEE Circuits and Systems,pages 2749-2752,May 2008.
  • 9S. Birchfield. Elliptical head tracking using intensity gradients and color histograms. International Conference on Computer Vision and Pattern Recognition, pages 232 - 237june 1998.
  • 10M. J. Black and A. D. Jepson. Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. 4th European Conference on Computer Vision,1064:329 - 342, April 1996.

引证文献10

二级引证文献18

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