期刊文献+

智能视频监控及应用 被引量:1

Technology and Application of Intelligent Video Surveillance
下载PDF
导出
摘要 智能视频监控是提高监控效率、提升监控质量的核心技术。论文从运动目标检测、目标跟踪、视频检索和行为模式分析等方面系统的论述了智能视频监控技术,并指出其广泛的应用前景。
作者 韩云 郑尚志
出处 《光盘技术》 2008年第8期40-41,共2页 CD TECHNOLOGY
基金 安徽省教育厅自然科学研究项目(省级重点:KJ2008A35ZC) 巢湖学院科研基金资助项目(院级重点:XLZ-200701)
关键词 视频监控 智能技术 目标跟踪 Video Surveillance intelligent technology Target detection
  • 相关文献

参考文献4

二级参考文献32

  • 1傅德胜,王海彬,孙文静.数字视频监控中的运动目标检测[J].微电子学与计算机,2005,22(1):118-121. 被引量:16
  • 2王熠,翟宏琛,母国光.基于形态矩阵的图像模糊匹配方法[J].物理学报,2005,54(5):1965-1968. 被引量:5
  • 3[1]Haritaoglu I,Harwood D,Davis L W.Real-time surveillance of people and their activities[J].IEEE Trans Pattern Analysis and Machine Intelligence,2000,22 (8):809-830.
  • 4[2]McKenna S,et al.Tracking groups of people[J].Computer Vision and Image Understanding,2000,80 (1):42-56.
  • 5[3]Kilger M.A shadow handler in a video-based real-time traffic monitoring system[C].In:Proc IEEE Workshop on Applications of Computer Vision,Palm Springs,CA,1992.
  • 6[4]Stauffer C,Grimson W.Adaptive background mixture models for real-time tracking[J].In:Proc IEEE Conference on Computer Vision and Pattern Recognition,Fort Collins,Colorado,1999,2:246-252.
  • 7[5]Lipton A,Fujiyoshi H and Patil R.Moving target classification and tracking from real-time video.In:Proc IEEE Workshop on Applications of Computer Vision,Princeton,NJ,1998,8-14.
  • 8[6]Meyer D,Denzler J and Niemann H.Model based extraction of articulated objects in image sequences for gait analysis.In:Proc IEEE International Conference on Image Processing,Santa Barbara,California 1997,78-81.
  • 9[8]Friedman N,Russell S.Image segmentation in video sequences:a probabilistic approach[C].In:Proc the Thirteenth Conference on Uncertainty in Artificial Intelligence,Rhode Island,USA,1997.
  • 10[9]Stringa E.Morphological change detection algorithms for surveillance applications[C].In:British Machine Vision Conference,Bristol,UK,2000.

共引文献38

同被引文献4

引证文献1

二级引证文献1

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