A Method of Effective Background Estimation for Video Sequences with Dense Moving Objects

被引：0
|
作者：
Zhu, Hui [1 ]
Mastorakis, N. E. [2 ]
Zhuang, X. D. [2 ]
机构：
[1] Qingdao Univ Sci & Technol, Automat & Elect Engn Coll, Qingdao 266042, Peoples R China
[2] Tech Univ Sofia, Dept Ind Engn, Sofia 1000, Bulgaria
来源：
2015 SECOND INTERNATIONAL CONFERENCE ON MATHEMATICS AND COMPUTERS IN SCIENCES AND IN INDUSTRY (MCSI) | 2015年
关键词：
Video sequence processing; background estimation; image segmentation; traffic image processing; IMAGE; FLOW;
D O I：
10.1109/MCSI.2015.13
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A method is proposed to estimate the background in video sequences with dense moving objects. The velocity field is estimated by optical flow to determine the image areas occupied by moving objects. The background is estimated by an efficient averaging process within the regions excluding the moving objects, which overcomes the foreground-occluding problem in common averaging method in a dynamic environment such as heavy traffic. The experimental results on traffic surveillance videos prove the effectiveness of the proposed method.
引用
收藏
页码：99 / 104
页数：6
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