Object based video synopsis

被引:0
作者
Yao, Tong [1 ]
Xiao, Maosen [1 ]
Ma, Caiwen [1 ]
Shen, Chao [1 ]
Li, Peng [2 ]
机构
[1] Xian Inst Opt & Precis Mech, Optic Direct & Pointing Tech Res Dept, Xian, Peoples R China
[2] Second Artillery Xian, Mil Representat Off, Xian, Peoples R China
来源
PROCEEDINGS OF 2014 IEEE WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS (WARTIA) | 2014年
关键词
video synopsis; background modeling; object detection; multi-target tracking; TRACKING;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Tens of thousands of surveillance cameras all over every corner of the world send large amounts of data 24 hours a day, but most of these videos are redundant data lacking of activity. It is time consuming to browse all of those raw data. This paper has researched object based video synopsis technology with the surveillance video of a neighborhood and an indoor surveillance video as research target, presenting all necessary activities in a short time by displaying objects concurrently, even if they originally occurred at different time. The result shows that we can create a synopsis with maximum activity while avoiding conflicts between objects as much as possible.
引用
收藏
页码:1138 / 1141
页数:4
相关论文
共 11 条
[1]  
Andriyenko A, 2012, PROC CVPR IEEE, P1926, DOI 10.1109/CVPR.2012.6247893
[2]  
Bose Biswajit., 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition, P1
[3]  
Feng SK, 2012, PROC CVPR IEEE, P2082, DOI 10.1109/CVPR.2012.6247913
[4]  
Kwon J, 2009, PROC CVPR IEEE, P1208, DOI 10.1109/CVPRW.2009.5206502
[5]  
Lee YJ, 2012, PROC CVPR IEEE, P1346, DOI 10.1109/CVPR.2012.6247820
[6]  
Nie Y., 2012, IEEE T VISUALIZATION, V6, P1
[7]  
Pritch Y, 2007, IEEE I CONF COMP VIS, P833
[8]  
Qing Wang, 2012, 2012 IEEE Workshop on Applications of Computer Vision (WACV), P425, DOI 10.1109/WACV.2012.6162999
[9]  
Rav-Acha A., 2006, P 2006 IEEE COMP SOC, V1, P435
[10]  
Wu Z, 2012, PROC CVPR IEEE, P1948, DOI 10.1109/CVPR.2012.6247896