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...

HSV彩色空间的室内外运动人检测与阴影消除

DOI: 10.3969/j.issn.1000-5013.2007.01.009, PP. 30-33

Keywords: 运动检测,背景减除,HSV彩色空间,阴影消除

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出一种用于运动目标的分割,基于最大统计概率的自适应背景模型,采用简单的背景重建方法,用于维护背景以适应场景的动态变化.利用阴影区域亮度和色调的特点,在HSV(HueSatarationValue)空间消除运动阴影,使得运动目标的分割更为准确.为了客观的评价所提出的阴影检测算法的性能,引入一种量化的方法,对不同光照和环境条件视频的实验结果及量化分析表明,方法是有效的.

References

[1]  HARITAOGLU I, HARWOOD D, DAVIS L. W4:Real-time surveillance of people and their activities [J]. IEEE, Transaction on Pattern Analysis and Machine Intelligence, 2000(8):809-830.
[2]  STAUFFER C, GRIMSON W. Adaptive background mixture models for real-time tracking [A]. Colorado:Fort Collins, 1999.246-252.
[3]  王运琼, 游志胜, 刘直芳. 基于空间特征的汽车阴影分割方法 [J]. 光电工程, 2003(2):64-67.doi:10.3969/j.issn.1003-501X.2003.02.019.
[4]  PRATI A, MIKIC I, TRIVEDI M M, CUCCHIARA R. Detecting moving shadows:algorithms and evaluation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003(7):918-923.
[5]  YONEYAMA A, YEG C H, KUO C-C J. Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models [A]. Houston:IEEE Coomputer Society Press, 2003.229-236.
[6]  ROSIN P L, ELLIS T. Image difference threshold strategies and shadow detection [M]. Birmingham:BMVA Press, 1995.347-356.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133