The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Contour tracking by stochastic propagation of conditional density
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Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
Adaptive filtering, prediction and control
Ioannou, P. (1985) · Automatica · doi:10.1016/0005-1098(85)90014-7 · Cited by 4,480
Adaptive filtering prediction and control
Goodwin, G. C., & Sin, K. S. (1984) · Cited by 3,400
Introduction to Stochastic Control Theory
(1970) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(09)x6015-7 · Cited by 3,220
Bar-Shalom, Y., Fortmann, T. E., & Cable, P. G. (1990) · The Journal of the Acoustical Society of America · doi:10.1121/1.398863 · Cited by 3,070
An Introduction to Splines for Use in Computer Graphics and Geometric Modeling
Bartels, R. H., Beatty, J. C., & Barsky, B. A. (1987) · Cumulative Index of Computer Aided Architectural Design · Cited by 1,144
Recognition by linear combinations of models
Ullman, S., & Basri, R. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.99234 · Cited by 809
Dynamic 3D models with local and global deformations: deformable superquadrics
Terzopoulos, D., & Metaxas, D. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.85659 · Cited by 781
Representations of Knowledge in Complex Systems
Grenander, U., & Miller, M. I. (1994) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1994.tb02000.x · Cited by 603
Model-based vision: a program to see a walking person
Hogg, D. (1983) · Image and Vision Computing · doi:10.1016/0262-8856(83)90003-3 · Cited by 467
Visual tracking of high DOF articulated structures: An application to human hand tracking
Rehg, J. M., & Kanade, T. (1994) · Lecture Notes in Computer Science · doi:10.1007/bfb0028333 · Cited by 453
A framework for spatiotemporal control in the tracking of visual contours
Blake, A., Curwen, R., & Zisserman, A. (1993) · International Journal of Computer Vision · doi:10.1007/bf01469225 · Cited by 380
Self-citationHands: A Pattern Theoretic Study of Biological Shapes
Grenander, U., Chow, Y. K., & Keenan, D. M. (1990) · Medical Entomology and Zoology · Cited by 334
Robust model-based motion tracking through the integration of search and estimation
Lowe, D. G. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127170 · Cited by 310
Visual tracking of known three-dimensional objects
Gennery, D. B. (1992) · International Journal of Computer Vision · doi:10.1007/bf00126395 · Cited by 258
Tracking non-rigid objects in complex scenes
Huttenlocher, D. P., Noh, J. J., & Rucklidge, W. J. (2002) · 1993 (4th) International Conference on Computer Vision · doi:10.1109/iccv.1993.378231 · Cited by 222
Harris, C. (1993) · The MIT Press eBooks · Cited by 191
Learning to track the visual motion of contours
Blake, A., Isard, M., & Reynard, D. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(95)00032-1 · Cited by 182
Self-citationA Bayesian approach to dynamic contours through stochastic sampling and simulated annealing
Storvik, G. (1994) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.329011 · Cited by 160
The dynamic analysis of apparent contours
Cipolla, R., & Blake, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1990.139606 · Cited by 119
Self-citationVisual interpretation of known objects in constrained scenes
Sullivan, G. D. (1992) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1992.0114 · Cited by 116
Kass, M., & Witkin, A. (1987) · Elsevier eBooks · doi:10.1016/b978-0-08-051581-6.50031-3 · Cited by 99
Building and using flexible models incorporating grey-level information
Cootes, T. F., Taylor, C., Lanitis, A., Cooper, D. H., & Graham, J. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1993.378212 · Cited by 95
3D position, attitude and shape input using video tracking of hands and lips
Blake, A., & Isard, M. (1994) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/192161.192197 · Cited by 91
Self-citationYuille, A., & Hallinan, P. (1993) · Cited by 87
Generating spatiotemporal models from examples
Baumberg, A., & Hogg, D. (1996) · Image and Vision Computing · doi:10.1016/0262-8856(96)01092-x · Cited by 61
Finding spiral structures in images of galaxies
Ripley, B. D., & Sutherland, A. L. (1990) · Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences · doi:10.1098/rsta.1990.0127 · Cited by 59
Data association methods for tracking systems
Rao, B. J. (1993) · Cited by 19
Generating Spatiotemporal Models from Examples.
Baumberg, A., & Hogg, D. (1995) · British Machine Vision Conference (BMVC) · doi:10.5244/c.9.41 · Cited by 14
Cited by
CONDENSATION—Conditional Density Propagation for Visual Tracking
Isard, M., & Blake, A. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008078328650 · Cited by 4,886
Self-citationIncremental 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
An introduction to MCMC for machine learning.
Andrieu, C., de Freitas, N., Doucet, A., & Jordan, M. I. (2003) · Machine Learning · doi:10.1023/a:1020281327116 · Cited by 2,451
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
Robust Monte Carlo localization for mobile robots
Thrun, S., Fox, D., Burgard, W., & Dellaert, F. (2001) · Artificial Intelligence · doi:10.1016/s0004-3702(01)00069-8 · Cited by 1,809
Metadata
- Authors
- Isard, M., & Blake, A.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- Volume
- 1064
- Pages
- 343-356
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1481420047
- Cited by
- 869
- References
- 32
- FWCI
- 17.21
- Type
- conference paper
- Language
- en
- Open access
- closed
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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.