Ramona Georgescu, Ph.D.
Affiliations: | 2012 | University of Connecticut, Storrs, CT, United States |
Area:
Electronics and Electrical Engineering, General EngineeringGoogle:
"Ramona Georgescu"Parents
Sign in to add mentorPeter Willett | grad student | 2012 | University of Connecticut | |
(Multisensor multitarget tracking with the CPHD filter on Sonar Datasets.) |
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Publications
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Georgescu R, Niedfeldt P, Zhang S, et al. (2014) The CPHD and R-RANSAC trackers applied to the VIVID dataset Proceedings of Spie - the International Society For Optical Engineering. 9092 |
Georgescu R, Willett P, Svensson L. (2013) Particle PHD forward filter-backward simulator for targets in close proximity Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 6387-6391 |
Georgescu R, Willett P. (2013) The GMCPHD tracker applied to the Clutter09 dataset Proceedings of the 16th International Conference On Information Fusion, Fusion 2013. 530-537 |
Georgescu R, Willett P. (2012) Classification aided cardinalized probability hypothesis density filter Proceedings of Spie - the International Society For Optical Engineering. 8392 |
Georgescu R, Willett P. (2012) The multiple model CPHD tracker Ieee Transactions On Signal Processing. 60: 1741-1751 |
Georgescu R, Willett P. (2012) RFS MCMC predetection fusion applied to multistatic sonar data Ieee Transactions On Aerospace and Electronic Systems. 48: 2894-2907 |
Georgescu R, Willett P. (2012) The GM-CPHD tracker applied to real and realistic multistatic sonar data sets Ieee Journal of Oceanic Engineering. 37: 220-235 |
Georgescu R, Willett P. (2012) Predetection fusion with doppler measurements and amplitude information Ieee Journal of Oceanic Engineering. 37: 56-65 |
Georgescu R, Willett P, Svensson L, et al. (2012) Two linear complexity particle filters capable of maintaining target label probabilities for targets in close proximity 15th International Conference On Information Fusion, Fusion 2012. 2370-2377 |
Zhao D, Georgescu R, Willett P. (2011) Comparison of data reduction techniques based on SVM classifier and SVR performance Proceedings of Spie - the International Society For Optical Engineering. 8137 |