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Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
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Citations
Cited by
Object Segmentation by Long Term Analysis of Point Trajectories
Brox, T., & Malik, J. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15555-0_21 · Cited by 744
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
Zhou, X., Yang, C., & Yu, W. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.132 · Cited by 648
Segmentation of Moving Objects by Long Term Video Analysis
Ochs, P., Malik, J., & Brox, T. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.242 · Cited by 585
Optical flow modeling and computation: A survey
Fortun, D., Bouthemy, P., & Kervrann, C. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.02.008 · Cited by 431
On the spatial statistics of optical flow
Roth, S., & Black, M. J. (2005) · Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 · doi:10.1109/iccv.2005.180 · Cited by 95
Metadata
- Authors
- Cremers, D., & Soatto, S.
- Venue
- International Journal of Computer Vision
- Published
- 2004-11-01
- Volume
- 62
- Issue
- 3
- Pages
- 249-265
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2114190460
- Cited by
- 253
- References
- 0
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. https://app.cochat.ai/papers/10.1007/s11263-005-4882-4
- The paper
- Cremers, D., & Soatto, S. (2005). Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. International Journal of Computer Vision. https://doi.org/10.1007/s11263-005-4882-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
