Surveillance video synopsis based on moving object matting using noninteractive GrabCut

被引：0

作者：

机构：

[1] Department of Information and Electrical Engineering, Shandong Jianzhu University, Jinan

来源：

Cao, J. (jrcao@126.com) | 1600年 / Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands卷 / 05期

关键词：

Background modeling; Object detection; Video monitoring; Video synopsis;

D O I：

10.2174/1874444301305010113

中图分类号：

学科分类号：

摘要：

An algorithm of surveillance video synopsis is presented in this paper. At first, the detection method of moving object for surveillance video is proposed. Then the ROI (Region of Interest) of moving object is extracted and a noninteractive matting algorithm of moving object based on GrabCut is presented. These matting moving objects are placed without overlapping in a background image, so a frame that several moving objects have been placed in a background image can be obtained. Finally, a series of these frame images can be obtained in timeline and a single camera surveillance video synopsis can be formed. The experimental results show that our detection method of moving object is superior to those methods such as Gaussian mixture model, background subtraction, frame difference method and Li's method. The synopsis obtained contains all objects appeared in surveillance video and is a concise expression for original video. © Cao et al.; Licensee Bentham Open.

引用

页码：113 / 118

页数：5

共 13 条

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