Multiple Object Tracking
Multiple Object Tracking is a cognitive task within the study of attention that requires individuals to concurrently monitor the spatial positions and identities of multiple moving objects over time, distinguishing it from other attentional paradigms by its emphasis on dynamic, object-based allocation of attention amid continuous motion and potential occlusions.
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2017–2026
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You'll never walk alone: Modeling social behavior for multi-target tracking
S. Pellegrini, Andreas Ess, Konrad Schindler et al. · 2009 · 1.6K citations
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan, Laura Leal-Taixé, Ian Reid et al. · arXiv (Cornell University) · 2016 · 1.4K citations · Full text
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Chinese Academy of Sciences
Beijing, China
25 h-index
118 publications
8K citations
University of Chinese Academy of Sciences
Beijing, China
19 h-index
47 publications
3.4K citations
Institute of Automation
Beijing, China
18 h-index
61 publications
5.1K citations
Harvard University
Cambridge, United States
17 h-index
43 publications
2.4K citations
ETH Zurich
Zurich, Switzerland
16 h-index
39 publications
11.1K citations
University of Washington
Seattle, United States
16 h-index
31 publications
1.9K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
15 h-index
21 publications
2.5K citations
University of Southern California
Los Angeles, United States
14 h-index
32 publications
4.7K citations
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Repository · 66 publications · 4.7K citations
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TPAMI · 18 publications · 4.3K citations
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