Spatial Background Modeling is a computational technique in computer vision that characterizes the static or slowly varying regions of a scene in a spatially explicit manner to facilitate the detection of dynamic foreground elements by distinguishing them from the surrounding background structure.
276
Publications
17.6K
Citations
797
Authors
318
Institutions
Publications per year
2017–2026
64
Parents
Publications
276
1–5 of 276
Authors
797
- TB
5
h-index
- AS
5
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- CS
4
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- VR
4
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- DL
4
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1–5 of 797
Institutions
318
Wuhan University
Wuhan, China
5 h-index
25 publications
2K citations
Chinese Academy of Sciences
Beijing, China
5 h-index
16 publications
717 citations
La Rochelle Université
La Rochelle, France
5 h-index
7 publications
1.3K citations
Institute for Infocomm Research
Singapore, Singapore
5 h-index
13 publications
2.7K citations
Kyushu University
Fukuoka, Japan
5 h-index
17 publications
294 citations
Data61
Sydney, Australia
4 h-index
11 publications
219 citations
Universidad Politécnica de Madrid
Madrid, Spain
4 h-index
10 publications
294 citations
Zhejiang University
Hangzhou, China
4 h-index
4 publications
143 citations
1–8 of 318
Venues
- IEEE Transactions on Image Processing
11 publications · 1.7K citations
11
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
9 publications · 181 citations
9
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- IEEE Transactions on Circuits and Systems for Video Technology
7 publications · 397 citations
7
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- Multimedia Tools and Applications
6 publications · 122 citations
6
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 5 publications · 3.6K citations
5
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1–5