期刊文献+

压缩域人脸检测与跟踪技术

Face Detection and Tracking Techniques in Compressed-Domain Video
下载PDF
导出
摘要 多媒体技术的迅猛发展要求对海量的信息数据进行有效的处理,压缩域图像/视频处理技术得到了广泛的关注,在压缩域开展人脸检测与跟踪技术的研究是这一领域的一种新动向,值得关注。笔者对这一课题提出的背景和研究现状进行了分析,并提出了该课题中有待解决的问题。 Effective data processing is required with the fast development of multimedia technology. Com- pressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection and tracking in com- pressed-domain video becomes a new trend. Based on the analysis of the background and research status, some im- portant future directions are presented.
出处 《测控技术》 CSCD 2005年第5期18-20,23,共4页 Measurement & Control Technology
基金 国家自然科学基金资助项目(60172045 60402036) 北京市自然科学基金资助项目(4042008)
关键词 人脸检测 人脸跟踪 压缩域 face detection face tracking compressed domain
  • 相关文献

参考文献10

  • 1刘明宝,姚鸿勋,高文.彩色图像的实时人脸跟踪方法[J].计算机学报,1998,21(6):527-532. 被引量:48
  • 2邢昕,汪孔桥,沈兰荪.基于器官跟踪的人脸实时跟踪方法[J].电子学报,2000,28(6):29-31. 被引量:28
  • 3沈兰荪,魏海,黄祥林.压缩域图像处理技术研究[J].北京工业大学学报,2000,26(3):24-32. 被引量:16
  • 4沈兰荪.压缩域图像/视频信息处理技术的研究[J].计算机自动测量与控制,2000,8(5):1-3. 被引量:9
  • 5Hjelmas E, Low B K. Face detection: A survey[J].Computer Vision and Image Understanding,2001,83:236-274.
  • 6Hager G D, Belhumeur P N. Efficent region tracking with parametric models of geometry and illumination[J]. IEEE Trans.PAMI, 1998,20(10):l 025-1 039.
  • 7Wang H, Chang S F. A highly efficient system for automatic face region detection in MPEG video[J]. IEEE Trans on Circuits Syst Video Technol, 1997,7(4):615-628.
  • 8Chua Tat-Seng, Zhao Yunlong, Kankanhalli M S. Detection of human faces in a compressed domain for Video stratification[J]. The Visual Computer. 2002,(18): 121-133.
  • 9Wang H, Stong H S and Chang S-F. FaceTrack: tracking and summarizing faces from compressed video[A]. In SPIE Multimedia Storage and Archiving System Ⅳ, 1999:19-22.
  • 10Zhao Y L, Chua T S. Automatic tracking of face sequences in MPEG video[A]. IEEE Proceedings of the Computer Graphics International(CGI '03),2003.

二级参考文献19

  • 1[1]M.Flickner,H.Sawhney,Query by Image and Video Content:The QBIC Syste m[C].Computer,1995,28:23~32.
  • 2[2]S.F.Chang,Compressed domain techniques for image/video indexing an d manipulation[C].IEEE International Conference on Image Processing,1995,(10) :314~317.
  • 3[3]S.W.Smoliar and H.J.Zhang,Contentbased Video indexing and Retrieval [J].IEEE Multimedia,1994,1(2).
  • 4[4]Jason Hyon,Sugi Sorensen, Mike Martin, Kristy Kawasaki, A WWWbased A rchive and Retrieval System for Multimedia Production[C]. SPIE Proc. Of Mult imedia Computing and Networking, 1996,(2916):23~32 .
  • 5[5]R.M.Bolle, B.L.Yeo, M.M.Yeung, Video query Research directions[J]. IBM Journal of Research and Development,1998,3(42).
  • 6[6]J.Smith and Shih Fu Chang.An Image and Video Search Engine for the W orld-Wide Web[C].Proceedings of SPIE,1997,(3022).Storage and Retrieval for I mage and Video Database.
  • 7[7]MPEG-1,Coding of moving pictures and associated audio[R].T ech.Report,Committee Draft of Standard ISO 11172,1990.
  • 8[8]MPEG-2,Information technology-generic coding of moving pictures and associated audio[R].Tech.Report,ISO/IEC 13818-2,Committee Draft,1994,3.
  • 9[9]MPEG-4,Information technology-generic coding of audio-visual obJects [S].Final Draft of International Standards, ISO/IEC 14496-2,1998,(2).
  • 10[10]MPEG-7, Context and objectives[S]. ISO/IEC JTC1/SC29/WG11 N2460 ,1998,10.

共引文献85

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