Multiple Hypothesis Tracking
Multiple Hypothesis Tracking is a data association method that maintains multiple probabilistic hypotheses over time to resolve ambiguities in tracking multiple targets in cluttered environments, distinguishing it from single-hypothesis approaches by its explicit representation of track uncertainty through competing, persistent trajectories.
339
Publications
21K
Citations
697
Authors
291
Institutions
Publications per year
2017–2026
51
Parents
339
Multiple Hypothesis Tracking Revisited
Chanho Kim, Fuxin Li, Arridhana Ciptadi et al. · 2015 · 681 citations
1–5 of 339
697
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Fraunhofer Institute for Communication, Information Processing and Ergonomics, Germany
12 publications · 557 citations
11
h-index
NATO Centre for Maritime Research and Experimentation, Italy
9 publications · 211 citations
10
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NATO Centre for Maritime Research and Experimentation, Italy
10 publications · 242 citations
10
h-index
1–5 of 697
291
University of Connecticut
Storrs, United States
18 h-index
51 publications
1.9K citations
Fraunhofer Institute for Communication, Information Processing and Ergonomics
Wachtberg, Germany
14 h-index
24 publications
910 citations
Naval Undersea Warfare Center
Newport, United States
13 h-index
25 publications
887 citations
Defence Science and Technology Group
Canberra, Australia
12 h-index
28 publications
613 citations

The University of Adelaide
Adelaide, Australia
9 h-index
22 publications
575 citations

The University of Melbourne
Melbourne, Australia
7 h-index
12 publications
748 citations
RTX (United States)
Arlington, United States
7 h-index
13 publications
1.8K citations
Chalmers University of Technology
Gothenburg, Sweden
7 h-index
13 publications
387 citations
1–8 of 291
39 publications · 2.5K citations
28
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33 publications · 806 citations
15
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7 publications · 921 citations
8
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Repository · 6 publications · 97 citations
6
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Conference · 6 publications · 98 citations
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