Correlation Filter Tracking
Correlation Filter Tracking is a visual tracking methodology that employs a discriminative filter trained via correlation in the frequency domain to distinguish a target from its background by leveraging circulant matrix properties for efficient model updates.
283
Publications
27.5K
Citations
841
Authors
273
Institutions
Publications per year
2017–2026
243
Variants
Correlation Filter-based Tracking
Parents
283
Visual object tracking using adaptive correlation filters
D.S. Bolme, J. Ross Beveridge, Bruce A. Draper et al. · 2010 · 3.3K citations
ECO: Efficient Convolution Operators for Tracking
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan et al. · 2017 · 2.8K citations · Full text
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273
Tongji University
Shanghai, China
16 h-index
62 publications
3.8K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
58 publications
3.1K citations

Harbin Institute of Technology
Harbin, China
14 h-index
59 publications
3K citations
Tsinghua University
Beijing, China
12 h-index
19 publications
1.1K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
33 publications
2K citations

Beijing Institute of Technology
Beijing, China
11 h-index
49 publications
1.5K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
10 h-index
16 publications
582 citations

Xidian University
Xi'an, China
9 h-index
32 publications
811 citations
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20 publications · 1K citations
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Repository · 13 publications · 719 citations
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18 publications · 335 citations
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12 publications · 382 citations
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9 publications · 629 citations
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