Open Access
Issue
MATEC Web Conf.
Volume 370, 2022
2022 RAPDASA-RobMech-PRASA-CoSAAMI Conference - Digital Technology in Product Development - The 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI
Article Number 07004
Number of page(s) 11
Section Pattern Recognition
DOI https://doi.org/10.1051/matecconf/202237007004
Published online 01 December 2022
  1. R. Jain and H.-H. Nagel, ‘On the Analysis of Accumulative Difference Pictures from Image Sequences of Real World Scenes’, IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-1, No. 2, pp. 206–214, Apr. 1979, doi:10.1109/TPAMI.1979.4766907. [CrossRef] [Google Scholar]
  2. L. Zappella, X. Lladó, E. Provenzi, and J. Salvi, ‘Enhanced Local Subspace Affinity for feature-based motion segmentation’, Pattern Recognit., vol. 44, No. 2, pp. 454–470, Feb. 2011, doi:10.1016/j.patcog.2010.08.015. [CrossRef] [Google Scholar]
  3. M. Pawan Kumar, P. H. S. Torr, and A. Zisserman, ‘Learning Layered Motion Segmentations of Video’, Int. J. Comput. Vis., vol. 76, No. 3, pp. 301–319, Mar. 2008, doi:10.1007/s11263-007-0064-x. [CrossRef] [Google Scholar]
  4. D. Brink, ‘Using probabilistic graphical models to detect dynamic objects for mobile robots’, Stellenbosch University, Stellenbosch, 2016. [Google Scholar]
  5. A. Chiu, ‘Probabilistic Outlier Removal for Stereo Visual Odometry’, p. 110. [Google Scholar]
  6. D. Barber, Bayesian Reasoning and Machine Learning. Cambridge: Cambridge University Press, 2011. doi:10.1017/CBO9780511804779. [Google Scholar]
  7. D. Koller and N. Friedman, Probabilistic graphical models: principles and techniques. Cambridge, MA: MIT Press, 2009. [Google Scholar]
  8. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988. [Google Scholar]
  9. R. Kindermann and J. L. Snell, Markov random fields and their applications. Providence, R.I: American Mathematical Society, 1980. [Google Scholar]
  10. S. Streicher and J. du Preez, ‘Graph Coloring: Comparing Cluster Graphs to Factor Graphs’, in Proceedings of the ACM Multimedia 2017 Workshop on South African Academic Participation – SAWACMMM’ 17, Mountain View, California, USA, 2017, pp. 35–42. doi:10.1145/3132711.3132717. [Google Scholar]

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