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EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
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Citations
Cited by
Online Object Tracking: A Benchmark
Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138
Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2388226 · Cited by 3,371
Incremental Learning for Robust Visual Tracking
Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061
Robust object tracking with online multiple instance learning
Babenko, B., Yang, M.-H., & Belongie, S. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.226 · Cited by 2,007
Real-Time Tracking via On-line Boosting
Grabner, H., Grabner, M., & Bischof, H. (2006) · Procedings of the British Machine Vision Conference 2006 · doi:10.5244/c.20.6 · Cited by 1,198
(2009) · doi:10.1109/iccv.2009.5459292 · Cited by 779
A survey of appearance models in visual object tracking
Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Hengel, A. V. D. (2013) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2508037.2508039 · Cited by 705
Real-time visual tracking of complex structures
Drummond, T., & Cipolla, R. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017620 · Cited by 598
In defense of color-based model-free tracking
Possegger, H., Mauthner, T., & Bischof, H. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298823 · Cited by 370
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.07.001 · Cited by 330
Dense Reconstruction Using 3D Object Shape Priors
Dame, A., Prisacariu, V. A., Ren, C. Y., & Reid, I. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.170 · Cited by 135
Vision-Based Relative Pose Estimation for Autonomous Rendezvous And Docking
Kelsey, J. M., Byrne, J., Cosgrove, M., Seereeram, S., & Mehra, R. K. (2006) · 2006 IEEE Aerospace Conference · doi:10.1109/aero.2006.1655916 · Cited by 130
Pose estimation for spacecraft relative navigation using model-based algorithms
Opromolla, R., Fasano, G., Rufino, G., & Grassi, M. (2017) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2017.2650785 · Cited by 127
Partial Occlusion Handling for Visual Tracking via Robust Part Matching
Zhang, T., Jia, K., Xu, C., Ma, Y., & Ahuja, N. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.164 · Cited by 117
Relative pose estimation for cylinder-shaped spacecrafts using single image
Liu, C., & Hu, W. (2014) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2014.120757 · Cited by 101
Metadata
- Authors
- Black, M. J., & Jepson, A. D.
- Venue
- International Journal of Computer Vision
- Published
- 1998-01
- Volume
- 26
- Issue
- 1
- Pages
- 63-84
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2753461371
- Cited by
- 1,029
- References
- 0
- FWCI
- 20.13
- 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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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.