Multi-object Tracking
Multi-Object Tracking is a computer vision framework that extends visual tracking by simultaneously localizing and maintaining the identities of multiple objects across video frames, distinguishing itself from single-object tracking and detection through its focus on identity association and motion coherence in cluttered, dynamic scenes.
1.9K
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1.3K
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2017–2026
971
1.9K
Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott et al. · 2016 · 3.9K citations · Full text
You'll never walk alone: Modeling social behavior for multi-target tracking
S. Pellegrini, Andreas Ess, Konrad Schindler et al. · 2009 · 1.6K citations
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Chinese Academy of Sciences
Beijing, China
30 h-index
148 publications
9.8K citations
ETH Zurich
Zurich, Switzerland
25 h-index
62 publications
13.8K citations
University of Southern California
Los Angeles, United States
24 h-index
74 publications
12K citations
University of Chinese Academy of Sciences
Beijing, China
23 h-index
69 publications
5.5K citations
Tsinghua University
Beijing, China
20 h-index
73 publications
7.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
20 h-index
63 publications
11.1K citations
University of Washington
Seattle, United States
20 h-index
48 publications
3.6K citations
Institute of Automation
Beijing, China
19 h-index
63 publications
5.9K citations
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Repository · 119 publications · 8.1K citations
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TPAMI · 39 publications · 10K citations
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31 publications · 1.3K citations
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39 publications · 1.4K citations
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