Robust Motion Tracking
Robust Motion Tracking is a computational method in image stabilization that reliably estimates motion parameters across diverse and challenging conditions, such as occlusions, illumination changes, and rapid camera movements, by incorporating adaptive algorithms and outlier rejection mechanisms to maintain accuracy and consistency.
211
Publications
10.7K
Citations
706
Authors
273
Institutions
Publications per year
2017–2026
61
Parents
211
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Jinkun Cao, Jiangmiao Pang, Xinshuo Weng et al. · 2023 · 841 citations
Efficient Mean-Shift Tracking via a New Similarity Measure
Changjiang Yang, Ramani Duraiswami, L.S. Davis · 2005 · 314 citations
Covariance scaled sampling for monocular 3D body tracking
Cristian Sminchisescu, Bill Triggs · 2005 · 294 citations · Full text
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273
Tsinghua University
Beijing, China
7 h-index
21 publications
1.2K citations
Technical University of Munich
Munich, Germany
6 h-index
12 publications
613 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
14 publications
694 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
15 publications
469 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
7 publications
825 citations

Monash University
Melbourne, Australia
5 h-index
14 publications
753 citations

Zhejiang University
Hangzhou, China
5 h-index
9 publications
345 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
9 publications
261 citations
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5 publications · 303 citations
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5 publications · 719 citations
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4 publications · 94 citations
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4 publications · 215 citations
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3 publications · 120 citations
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