Removal Shadow with Background Subtraction Model ViBe Algorithm

被引：0
|
作者：
Chen, Feiling [1 ,2 ]
Zhu, Bin [1 ,2 ]
Jing, Wenlin [1 ,2 ]
Yuan, Lin [1 ,2 ]
机构：
[1] Jiangsu Secur & Video Surveillance Engn, Res Ctr, Nanjing 210012, Jiangsu, Peoples R China
[2] Guodian Nanjing Automat CO LTD, Secur & Video Surveillance Applicat Technol Inst, Nanjing 210032, Jiangsu, Peoples R China
来源：
2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA) | 2013年
关键词：
Removal Shadow; Motion Detection; Invariant Color Features; ViBe; COLOR; VIDEO;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Removal shadow is an important step in many video surveillance applications. But shadow pixels belong to motion foreground and often misclassified as object during segmentation and tracking. Currently are many algorithms that deal with shadow in different color spaces in papers. However, it is not effective to determine the shadow segmentation and remove the shadow. In this paper, we study the invariant color features with the background model of Visual Background Extractor (ViBe) elimination moving object shadow, and repair pixels must be foreground not be shadow part, and this pixels enhance foreground mask convexity.
引用
收藏
页码：264 / 269
页数：6
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