Tracking By Detection
Tracking By Detection is a visual tracking paradigm that distinguishes itself from other tracking methodologies by relying on the repeated detection of target objects in individual frames, followed by temporal association of detection responses, rather than maintaining continuous object state through direct localization and motion prediction.
329
Publications
37.1K
Citations
1K
Authors
359
Institutions
Publications per year
2017–2026
184
Variants
Tracking-by-detection
Parents
329
Accurate Scale Estimation for Robust Visual Tracking
Martin Danelljan, G Hager, Fahad Shahbaz Khan et al. · 2014 · 2.2K citations · Full text
Struck: Structured output tracking with kernels
Sam Hare, Amir Saffari, Philip H. S. Torr · 2011 · 1.8K citations
1–5 of 329
1K
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Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
6 publications · 5.6K citations
6
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6
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359

Chinese Academy of Sciences
Beijing, China
13 h-index
41 publications
1.7K citations

Beihang University
Beijing, China
10 h-index
41 publications
3.4K citations
Tsinghua University
Beijing, China
9 h-index
23 publications
2.7K citations
University of Science and Technology of China
Hefei, China
9 h-index
21 publications
1.6K citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
28 publications
894 citations

Xi'an Jiaotong University
Xi'an, China
8 h-index
27 publications
764 citations
Technical University of Munich
Munich, Germany
8 h-index
24 publications
4.2K citations

National University of Defense Technology
Changsha, China
7 h-index
25 publications
1.3K citations
1–8 of 359
21 publications · 1.1K citations
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Repository · 31 publications · 1.1K citations
17
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12 publications · 692 citations
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TPAMI · 11 publications · 8.6K citations
11
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11 publications · 411 citations
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