View-Based and Visual-Attention-Based Background Modeling for Detecting Frequently and Infrequently Moving Objects for Video Summarization

2020 ◽  
pp. 115-127
Author(s):  
D. Minola Davids ◽  
C. Seldev Christopher
Keyword(s):  
Visual Attention ◽  
Moving Objects ◽  
Video Summarization ◽  
Background Modeling

scholarly journals Visual-Attention-Based Background Modeling for Detecting Infrequently Moving Objects

2017 ◽  
Vol 27 (6) ◽  
pp. 1208-1221 ◽  
Author(s):  
Yuewei Lin ◽  
Yan Tong ◽  
Yu Cao ◽  
Youjie Zhou ◽  
Song Wang
Keyword(s):  
Visual Attention ◽  
Moving Objects ◽  
Background Modeling

Algorithm of Surveillance Video Synopsis Based on Objects

2013 ◽  
Vol 321-324 ◽  
pp. 1041-1045
Author(s):  
Jian Rong Cao ◽  
Yang Xu ◽  
Cai Yun Liu
Keyword(s):  
Moving Objects ◽  
Background Modeling ◽  
Moving Object ◽  
Experimental Results ◽  
Single Camera ◽  
Surveillance Video ◽  
Video Synopsis ◽  
Object Based ◽  
Camera Surveillance ◽  
Background Image

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.

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