Motion Boundary Detection is a computational technique within motion estimation that identifies the spatial limits where distinct motion regimes intersect, distinguished from other motion analysis methods by its specific focus on localizing discontinuities in motion fields caused by object boundaries or depth transitions.
95
Publications
6K
Citations
264
Authors
117
Institutions
Publications per year
2017–2026
10
Parents
Publications
95
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki et al. · 2021 · 154 citations
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Authors
264
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1–5 of 264
Institutions
117
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
13 publications
6.4K citations
Institut National de la Recherche Scientifique
Québec, Canada
4 h-index
10 publications
226 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
3.5K citations
Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
7 publications
119 citations
University of Rochester
Rochester, United States
3 h-index
8 publications
370 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
3 h-index
5 publications
146 citations
Southwest Jiaotong University
Chengdu, China
3 h-index
7 publications
174 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
3 h-index
7 publications
174 citations
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Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 4 publications · 1.2K citations
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- Optical Engineering
4 publications · 61 citations
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- IEEE Transactions on Image Processing
3 publications · 135 citations
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- IEEE Transactions on Circuits and Systems for Video Technology
3 publications · 148 citations
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- Multimedia Tools and Applications
2 publications · 60 citations
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