Temporal Segmentation
Temporal Segmentation is a computational method in motion analysis that partitions continuous time-series motion data into discrete, meaningful phases or intervals based on temporal patterns and dynamic changes in movement characteristics.
416
Publications
28.1K
Citations
1.1K
Authors
487
Institutions
Publications per year
2017–2026
123
Parents
416
1–5 of 416
1.1K
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487
University of Bonn
Bonn, Germany
10 h-index
28 publications
3.1K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
19 publications
577 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
3K citations
National University of Singapore
Singapore, Singapore
8 h-index
21 publications
1.2K citations
Queen Mary University of London
London, United Kingdom
8 h-index
15 publications
1.2K citations

University of Rochester
Rochester, United States
7 h-index
18 publications
964 citations
Princeton University
Princeton, United States
7 h-index
12 publications
1.4K citations
Oregon State University
Corvallis, United States
7 h-index
14 publications
6.1K citations
1–8 of 487
TPAMI · 14 publications · 4.5K citations
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12 publications · 336 citations
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8 publications · 831 citations
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8 publications · 562 citations
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8 publications · 520 citations
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