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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Cites
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
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
Monte Carlo localization for mobile robots
Dellaert, F., Fox, D., Burgard, W., & Thrun, S. (2003) · Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C) · doi:10.1109/robot.1999.772544 · Cited by 1,620
Distance-based outliers: algorithms and applications
Knorr, E. M., Ng, R. T., & Tucakov, V. (2000) · The VLDB Journal The International Journal on Very Large Data Bases · doi:10.1007/s007780050006 · Cited by 1,195
An adaptive color-based particle filter
Nummiaro, K., Koller-Meier, E., & Van Gool, L. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00129-4 · Cited by 1,157
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Murphy, K., & Russell, S. (2001) · Sequential Monte Carlo Methods in Practice · doi:10.1007/978-1-4757-3437-9_24 · Cited by 1,157
Efficient region tracking with parametric models of geometry and illumination
Hager, G. D., & Belhumeur, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.722606 · Cited by 1,066
Recent developments in human motion analysis
Wang, L., Hu, W., & Tan, T. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00100-0 · Cited by 962
Articulated body motion capture by annealed particle filtering
Deutscher, J., Blake, A., & Reid, I. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.854758 · Cited by 868
Self-citationMCMC-based particle filtering for tracking a variable number of interacting targets
Khan, Z., Balch, T., & Dellaert, F. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.223 · Cited by 771
Visual tracking and recognition using appearance-adaptive models in particle filters
Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836152 · Cited by 668
Value-Function Approximations for Partially Observable Markov Decision Processes
Hauskrecht, M. (2000) · Journal of Artificial Intelligence Research · doi:10.1613/jair.678 · Cited by 527
A Survey of Sequential Monte Carlo Methods for Economics and Finance
Creal, D. (2012) · Econometric Reviews · doi:10.1080/07474938.2011.607333 · Cited by 301
A survey on behavior analysis in video surveillance for homeland security applications
Ko, T. (2008) · 2008 37th IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr.2008.4906450 · Cited by 209
Beymer, D. (2002) · Proceedings Workshop on Human Motion · doi:10.1109/humo.2000.897382 · Cited by 96
Statistical models of visual shape and motion
Blake, A., Bascle, B., Isard, M., & MacCormick, J. (1998) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.1998.0222 · Cited by 23
Self-citationLee, D., Soloperto, R., & Saveriano, M. (2018) · Autonomous Robots · doi:10.1007/s10514-017-9645-x · Cited by 11
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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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.