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Results for nonlinear estimation

Publications & Outputs

  1. Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterised Likelihood Function

    Petrov, N., Mihaylova, L., Gning, A. & Angelova, D., 12/2012, Monte Carlo Methods and Applications : Proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29 - September 2, 2011, Borovets, Bulgaria. Sabelfeld, K. K. & Dimov, I. (eds.). De Gruyter, p. 171-180 10 p. (De Gruyter Proceedings in Mathematics).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  2. Particle Filtering Combined with Interval Methods for Tracking Applications

    Gning, A., Mihaylova, L., Abdallah, F. & Ristic, B., 13/11/2012, Integrated Tracking, Classification, and Sensor Management: Theory and Applications. Mallick, M., Krishnamurthy, V. & Vo, B-N. (eds.). New Jersey: John Wiley and Sons, p. 43-74 32 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  3. A Novel Sequential Monte Carlo Approach for Extended Object Tracking Based on Border Parameterisation

    Petrov, N., Mihaylova, L., Gning, A. & Angelova, D., 07/2011, 14th International Conference on Information Fusion: ISIF. Chicago, Illinois, USA, p. 306-313 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  4. Particle algorithms for filtering in high dimensional state space : a case study in group object tracking.

    Mihaylova, L. & Carmi, A., 24/05/2011, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Prague: IEEE, p. 5932-5935 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  5. Group object structure and state estimation with evolving networks and Monte Carlo methods.

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. & Godsill, S., 1/04/2011, In : IEEE Transactions on Signal Processing. 59, 4, p. 1383-1396 14 p.

    Research output: Contribution to journalJournal article

  6. Group object structure and state estimation in the presence of measurement origin uncertainty.

    Mihaylova, L. & Gning, A., 2/09/2009, Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on. p. 473 - 476 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  7. Evolving networks for group object motion estimation

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. K. & Godsill, S. J., 16/04/2008, IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, 2008. IEEE, p. 99-106 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  8. Extended Object Tracking Using Mixture Kalman Filtering.

    Angelova, D. & Mihaylova, L., 2007, Lecture Notes in Computer Science. Boyanov, T., Dimova, S., Georgiev, K. & Nikolov, G. (eds.). ISSN: ed. Heidelberg: Springer-Verlag, Vol. 4310. p. 122-130 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter