期刊文献+

基于特征描述子的视频对象分级分割和跟踪算法

Scalable Segmentation and Tracking Algorithm of Video Objects Based on Characteristic Descriptors
下载PDF
导出
摘要 不同的视频应用对视频对象的分割和跟踪的速度和精确度具有不同的要求。提出了一种视频对象的分级分割和跟踪框架,基于视频对象特征描述子算法可以实时地分割和跟踪视频对象,基于区域特征描述子算法对分割的视频对象进一步细化,提高空域准确性。该框架可以满足各种视频应用。 Different video applications have various speed and accuracy requirements for segmentation and tracking of video object. This paper brings out a scalable segmentation and tracking framework of video objects. The algorithm based on video object characteristic descriptors can real time segment and track video objects, and the algorithm based on region descriptors can further improve the spatial accuracy of the segmented video objects. The results of the algorithm can meet different requirements for various video applications.
出处 《计算机应用研究》 CSCD 北大核心 2005年第5期154-155,158,共3页 Application Research of Computers
关键词 视频对象 分割 跟踪 特征描述子 Video Object Segmentation Tracking Characteristic Descriptors
  • 相关文献

参考文献6

  • 1MPEG Video Group.Overview of the MPEG-4 Standard v.15[S]. ISO/IEC JTC1/SC29/WG11 N3536, 2000. 被引量:1
  • 2A Cavallaro,T Ebrahimi.Video Object Extraction Based on Adaptive Background and Statistical Change Detection[C].San Jose:Proceedings of SPIE Electronic Imaging,Visual Communications and Image Processing,2001.465-475. 被引量:1
  • 3T Aach,A Kaup,R Mester.Statistical Model-based Change Detection in Moving Video[J].Signal Processing,1993,31:165-180. 被引量:1
  • 4F Dufaux,F Moscheni.Motion Estimation Techniques for Digital TV: A Review and a New Contribution[J].Proceedings of the IEEE,1995,83(6):858-876. 被引量:1
  • 5R Adams,L Bischof.Seeded Region Growing[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1994,16(6):641-647. 被引量:1
  • 6E Rivlin,M Rudzsky,et al.A Real-time System for Classification of Moving Objects[C].ICPR'02,volume 3,2002.688-691. 被引量: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