Adaptive Particle Filtering
Adaptive Particle Filtering is a particle filtering method that dynamically adjusts its parameters, sampling strategy, or resampling mechanism in response to changes in the underlying system dynamics or observation conditions to improve estimation accuracy and computational efficiency.
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13.8K
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867
Authors
369
Institutions
Publications per year
2017–2026
92
Parents
302
An adaptive color-based particle filter
Katja Nummiaro, Esther Koller-Meier, Luc Van Gool · Image and Vision Computing · 2003 · 1.2K citations
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369

Northwestern Polytechnical University
Xi'an, China
11 h-index
29 publications
799 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
20 publications
698 citations

Beihang University
Beijing, China
7 h-index
20 publications
616 citations
University of Washington
Seattle, United States
7 h-index
10 publications
1.4K citations
University of Maryland, College Park
College Park, United States
6 h-index
12 publications
1.6K citations
Nanjing University of Science and Technology
Nanjing, China
6 h-index
19 publications
600 citations

Harbin Institute of Technology
Harbin, China
6 h-index
16 publications
507 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
19 publications
669 citations
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CVIU · 5 publications · 196 citations
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5 publications · 166 citations
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5 publications · 308 citations
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5 publications · 149 citations
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5 publications · 117 citations
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