Motion Feature Detection
Motion Feature Detection is a computational method in computer vision that identifies and extracts distinctive spatiotemporal patterns corresponding to movement within image sequences by analyzing changes in pixel intensities or spatial structures over time.
605
Publications
45.6K
Citations
1.9K
Authors
689
Institutions
Publications per year
2017–2026
163
Parents
605
A Combined Corner and Edge Detector
Chris Harris, Matthew J. Stephens · 1988 · 12.5K citations
Laptev, Tony Lindeberg · 2003 · 1.3K citations · Full text
International Conference on Pattern Recognition
Computer · 1971 · 817 citations
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689
University of Maryland, College Park
College Park, United States
13 h-index
26 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
39 publications
1.6K citations
Tsinghua University
Beijing, China
9 h-index
24 publications
875 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
16 publications
1.9K citations

City University of Hong Kong
Hong Kong, Hong Kong
7 h-index
12 publications
477 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
7 h-index
20 publications
641 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
17 publications
889 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
962 citations
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14 publications · 1.2K citations
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18 publications · 647 citations
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12 publications · 338 citations
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11 publications · 365 citations
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8 publications · 375 citations
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