Research of GrabCut algorithm for single camera video synopsis

Author

Lili Hao ; Jianrong Cao ; Chengdong Li

Author_Institution

Shandong Provincial Key Lab. of Intell. Building Technol., Shandong Jianzhu Univ., Jinan, China

fYear

2013

fDate

9-11 June 2013

Firstpage

632

Lastpage

637

Abstract

In this paper, the GrabCut segmentation algorithm is used for the moving object matting in single camera surveillance video. In the case of the general location of the moving object has been drawn, we can get more accurate segmentation result and the process of user interaction is simplified. At the same time, the segmentation results are placed into one background image to concentrate the surveillance video in time and space and a single camera surveillance video synopsis can be formed. The implementation result shows that video synopsis is an effective way to compress the video and the browsing efficiency is improved in large extent.

Keywords

cameras; image motion analysis; image segmentation; user interfaces; video coding; video surveillance; GrabCut algorithm; GrabCut segmentation algorithm; accurate segmentation; background image; browsing efficiency; camera surveillance video synopsis; moving object matting; single camera surveillance video; single camera video synopsis; user interaction; video compression; Algorithm design and analysis; Cameras; Educational institutions; Image color analysis; Image segmentation; Minimization; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-6248-1

Type

conf

DOI

10.1109/ICICIP.2013.6568151

Filename

6568151