期刊文献+

一种用于数码相机自拍系统的人体检测方法 被引量:3

Method of tracking human body for the self-timer system in the digital camera
下载PDF
导出
摘要 在研发一种数码相机智能自拍系统的基础上,提出了一种简单有效的基于静止背景下目标人体的检测方法。该方法基于实时帧与参考背景帧的差分建立背景模型,进行前景目标分割,并基于颜色向量夹角消除阴影的影响,最后用投影阈值分析提取目标人体,并进行定位。该方法计算量低,环境适应性强,能满足数码相机自拍模式的目标跟踪要求。 Based on designing an intelligent self-timer system for the Digital Camera, a simple and effective approach was given to detect and locate the human body based on the still background. The background model was built based on the difference between real-timer image and reference image, in terms of which foreground objects were segmented. Then shadows were removed according to the contained angle of color vector. Finally threshold of the projection was used to extract and locate the human body. This algorithm can meet the object-tracking requirements of self-timer with low computation and good adaotability.
出处 《计算机应用》 CSCD 北大核心 2006年第1期160-162,共3页 journal of Computer Applications
关键词 数码相机 自拍系统 背景模型 阴影消除 人体检测 digital camera self-timer system background model shadow removed human body detection
  • 相关文献

参考文献7

  • 1林洪文,涂丹,李国辉.基于统计背景模型的运动目标检测方法[J].计算机工程,2003,29(16):97-99. 被引量:80
  • 2WREN CR, AZARBAYEJANI AJ, DARRELL T, et al. Pfinder :Real-time tracking of the human body[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7):780-785.
  • 3IVANOV Y, STAUFFER C, BOBICK A, et al. Video Surveillance of interactions[A]. Proc. 2nd Int. Workshop Visual Surveillance Fort Collins[C]. 1999.82 -90.
  • 4HEIKKILA J, SILVEN O. A real-time system for monitoring of cyclists and pedestrians[ A]. IEEE Workshop on Visual Surveillance Fort Collins[C]. 1999.74 - 81.
  • 5GRIMSON WEL, STAUFFER C, ROMANO R, et al. Using adaptive tracking to classify and monitor activities in a site[J]. Proceedings of DARPA Image Understanding Workshop, 1998, 1:33 -41.
  • 6HARITAOGLU I, HARWOOD D, DAVIS LS. W^4: Who? When?Where? What? A Real Time System for Detecting and Tracking People[EB/OL]. http://www. umiacs. umd. edu/users/hismail/Publications/fg98W4.pdf.
  • 7HORPRASERT T, HARWOOD D, DAVIS KS. A statistical approach for real-time robust background subtraction and shadow detection[A]. IEEE ICCV99 FRAME-RATE WORKSHOP[C].1999.

二级参考文献8

  • 1Collins R, Lipton A,Kanade T,et al. A System for Video Surveillance and Monitoring.Tech. Report CM U-RI-TR-00-12,Robotics Institute,Carnegie Mellon University,2000-05.
  • 2Koller D, Daniilidis K,Nagel H.Model-bascd Object Tracking in Monocular Image Sequences of Road traffic Scenes.International Journal of Computer Vision, 1993,10(3).
  • 3Wren C R,Azarbayejani A,Darrell T.Plinder:Real_time Tracking of the Human Body.IEEE Transactions on Pattern Analysis and Machine Intelligence, 1977-07,7.
  • 4Haritaoglu I,Davis L S,Harwood D.W4 Who? When? Where? What? A Rreal Time System for Detecing and Tracking People.In FGR98,1998.
  • 5Mclvor M.Background Subtraction Techniques.IVCNZ00, Hamilton,New Zealand, 2000-11.
  • 6Toyama K,Krumm J.Brumitt B.et al.Wallowver; Principles and Practice of Background Maintenance.ln International Conference on Computer Vision (1999).
  • 7Marcenaro L.Gera G.Rcgazzoni C.Adaptive Change Dctection APProach for Objcet Detection in Outdoor Scenes Under Variable Speed IIIumination Changes.European Signal Processing Conference Eusipco 2000,Tamperc.Finland.
  • 8Cucchiara R,Grana C.Piceardi M.Improving Shadow Suppression in Moving Objcet Detection with HSV Color Information.Proc.of ITSC,2001.

共引文献79

同被引文献5

引证文献3

二级引证文献7

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