Spatiotemporal Pattern Recognition
Spatiotemporal Pattern Recognition is a computational method that identifies and analyzes recurring or meaningful configurations of spatial and temporal data by integrating spatial relationships and temporal dynamics, distinguishing it from purely spatial or temporal analysis techniques through its joint consideration of space-time interactions.
319
Publications
19.5K
Citations
1K
Authors
442
Institutions
Publications per year
2017–2026
112
Variants
Spatio-temporal Pattern Recognition
Parents
319
Behavior Recognition via Sparse Spatio-Temporal Features
Piotr Dollár, Vincent Rabaud, Garrison W. Cottrell et al. · 2006 · 2.5K citations
Computing, Zoology, Computer Vision +14
Evaluation of local spatio-temporal features for action recognition
Heng Wang, Muhammad Muneeb Ullah, Alexander Kläser et al. · 2009 · 1.3K citations · Full text
1–5 of 319
1K
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Institut national de recherche en sciences et technologies du numérique, France
4 publications · 1.5K citations
4
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3
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3
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1–5 of 1K
442

Centre National de la Recherche Scientifique
Paris, France
10 h-index
28 publications
2.8K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
22 publications
807 citations
Nanyang Technological University
Singapore, Singapore
7 h-index
11 publications
359 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
6 h-index
11 publications
1K citations
University of Maryland, College Park
College Park, United States
6 h-index
14 publications
501 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
21 publications
536 citations
Microsoft (United States)
Redmond, United States
5 h-index
6 publications
213 citations

Peking University
Beijing, China
5 h-index
18 publications
792 citations
1–8 of 442
9 publications · 229 citations
9
h-index
8 publications · 297 citations
8
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CVIU · 6 publications · 378 citations
6
h-index
TPAMI · 7 publications · 1.6K citations
6
h-index
6 publications · 215 citations
6
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1–5