全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

视频分割中运动阴影消除的新方法

DOI: 10.11834/jig.20091031

Keywords: 运动阴影消除,区域生长,视频分割

Full-Text   Cite this paper   Add to My Lib

Abstract:

对于视频分割中运动阴影消除的问题,提出了一种结合色度、亮度和边缘信息的方法。首先使用结合核密度估计和边缘信息的分割方法获得初始分割结果及其中运动对象的边缘,然后提取输入视频帧的色度和亮度信息以得到可能的运动阴影区域,最后通过阴影区域生长将运动阴影和运动对象区分开。实验结果表明,该方法具有良好的消除运动阴影的性能。

References

[1]  Cucchiara R,Granan C,Piccardi M,et al.Detecting moving objects,ghosts,and shadows in video streams[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25 (10):1337-1342.
[2]  Rosin P,Ellis T.Image difference threshold strategies and shadow detection[A].In:Proceedings of the 1995 British Conference on Machine Vision[C],Birmingham,United Kingdom,1995:347-356.
[3]  Xu Dong,Lin Jian-zhuang,Li Xue-long,et al.Insignificant shadow detection for video segmentation[J].IEEE Transactions on Circuits and Systems for Video Technology,2005,15 (8):1058-1064.
[4]  John Canny.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.
[5]  Chien Shao-yi,Ma Shyh-yih,Chen Liang-gee.Efficient moving object segmentation algorithm using background registration technique[J].IEEE Transactions on Circuits and Systems for Video Technology,2002,12(7):577-586.
[6]  Hsieh Jun-wei,Hu Wen-fong,Chang Chia-jung,et al.Shadow elimination for effective moving object detection by Gaussian shadow modeling[J].Image and Vision Computing,2003,21 (6):505-516.
[7]  Salvador E,Cavallaro A,Ebrahimi T.Cast shadow segmentation using invariant color features[J].Computer Vision and Image Understanding,2004,95(2):238-259.
[8]  Gu Jian-dong,Lin Zhi,Zhang Zhao-yang.A novel moving object segmentation algorithm using kernel density estimation and edge information[J].Journal of Computer-Aided Design and Computer Graphics,2009,21(2):223-228.[顾建栋,刘志,张兆杨.结合核密度估计和边缘信息的运动对象分割算法[J].计算机辅助设计与图形学学报,2009,21(2):223-228.]
[9]  Adams R,Bischof L.Seeded region growing[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1994,16 (6):641-647.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133