Algorithm of Surveillance Video Synopsis Based on Objects

Abstract:

After background modeling and segmenting of moving object for surveillance video, this paper firstly presented a noninteractive matting algorithm of video moving object based on GrabCut. These matted moving objects then were placed in a background image on the condition of nonoverlapping arrangement, so a frame could be obtained with several moving objects placed in a background image. Finally, a series of these frame images could be achieved in timeline and a single camera surveillance video synopsis could be formed. The experimental results show that this video synopsis has the features of conciseness and readable concentrated form and the efficiency of browsing and retrieval can be improved.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 1041-1045
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.1041
• Online since: June 2013
• Authors: Jian Rong Cao, Yang Xu, Cai Yun Liu
• Keywords: Background Modeling, Object Segmentation, Video Surveillance, Video Synopsis

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