Blob Detection
Blob Detection is a feature detection method that identifies regions in an image exhibiting consistent properties at multiple scales, distinguished by its focus on detecting intensity or color variations that differ from the surrounding background in a spatially coherent manner.
380
Publications
20.4K
Citations
1.2K
Authors
493
Institutions
Publications per year
2017–2026
86
380
British Machine Vision Conference (BMVC)
Dima Damen, David Hogg · 2007 · 1.2K citations
Proceedings of the British Machine Vision Conference (BMVC)
Rob Frampton, Andrew Calway · 2013 · 918 citations
Mean-shift blob tracking through scale space
Robert T. Collins · 2003 · 800 citations
1–5 of 380
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493
Arizona State University
Tempe, United States
7 h-index
18 publications
517 citations

University of Minnesota
Minneapolis, United States
6 h-index
12 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
12 publications
2.5K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
5 h-index
6 publications
363 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
17 publications
787 citations
Technical University of Munich
Munich, Germany
5 h-index
7 publications
262 citations
Air University
Islamabad, Pakistan
4 h-index
7 publications
300 citations
1–8 of 493
10 publications · 190 citations
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TPAMI · 6 publications · 260 citations
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5 publications · 263 citations
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ApJ · 5 publications · 138 citations
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4 publications · 120 citations
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