A. N. Steinberg, C. L. Bowman, E. Pollard, B. Pannetier, M. Rombaut et al., Multitarget-Multisensor Tracking: Principle and Techniques Hybrid algorithms for multitarget tracking using A particle-filtering approach to convoy tracking in the midst of civilian traffic Signal Processing, Sensor Fusion, and Target Recognition XVII Bayesian networks vs. evidential network: An application to convoy detection Tracking and Data Association Mathematics of Data Fusion, Rethinking the JDL data fusion levels. Proceedings of the National Symposium on Sensor and Data Fusion 832?847. [4] Proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Methods Multitarget-Multisensor Tracking: Applications and Advances Multiple Target Tracking with Radar Applications, pp.31-39, 1986.

B. Vo, B. Vo, A. Cantoni, D. Clark, K. Panta et al., PHD filters of higher order in target number Multitarget Bayes filtering via first-order multitarget moments Analytic implementations of the cardinalized probability hypothesis density filter Carlo methods for multitarget filtering with random finite sets Track and PHD filter for multitarget tracking, Proceedings of SPIE Signal Processing, Sensor Fusion, and Target Recognition XV 1523?1543. [12] Mahler 1152?1178. [13] 3553?3567. [14] 1224?1245. [15] Lin, L. 778?795, 2003.

O. Erdinc, P. Willett, Y. K. Bar-shalom, D. Clark, and B. Vo, The bin-occupancy filter and its connection to the PHD filters Data association and track management for the Gaussian mixture probability hypothesis density filter, The GM-PHD filter multiple target tracker. Proceedings of the 2006 9th International Conference on Information Fusion 1?8. [17] 4232?4246. [18] Panta, 1003?1016. [19] Sittler, R. An optimal data association problem in surveillance theory. IEEE Transactions on Military Electronics, MIL-8, pp.125-139, 1964.

D. Clark, B. Vo, and T. Kirubarajan, Ground target tracking with variable structure IMM estimator Multiple ground target tracking with a GMTI sensor Design and Analysis of Modern Tracking Systems, Convergence analysis of the Gaussian mixture PHD filter 1204?1212. [21] Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems Bar-Shalom, Y. Tracking evasive move-stop-move targets with a MTI radar using a VS-IMM estimator, pp.230-236, 1999.

B. Pannetier, K. Benameur, V. Nimier, S. Das, R. Grey et al., VS-IMM using road map information for a ground target tracking Situation assessment via Bayesian belief networks Spatio-temporal pattern detection using dynamic Bayesian networks Reconfigurable Bayesian networks for adaptive situation assessment in battlespace Implementation and integration of a Bayesian network for prediction of tactical intention into a ground target simulator, Proceedings of SPIE Signal and Data Processing of Small Targets Proceedings of the 2005 8th International Conference on Information Fusion Proceedings of the 5th International Conference on Information Fusion Proceedings of the 42nd IEEE Conference on Decision and Control Proceedings of the 2005 IEEE International Conference on Networking, Sensing and Control 810?815. [29] Johansson Proceedings of the 2006 9th International Conference on Information Fusion 1?7. [30] Smets, P. Data fusion in the transferable belief model. Proceedings of the Third International Conference on Information Fusion 10?13. [31] Denoeux, T. Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence 234?264. [32] Benavoli, A., et al. An application of evidential networks to threat assessment. IEEE Transactions on Aerospace and Electronic Systems 620?639. [33] Ramasso, pp.664-671, 2000.

J. D. Ph, F. Fourier, E. Pollard, B. Pannetier, M. Rombaut et al., Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem Convoy detection processing by using the hybrid algorithm (GMCPHD/VS-IMMC-MHT) and dynamic Bayesian networks Performances in multitarget tracking for convoy detection over real GMTI data, 1?35. [35] Proceedings of the 12th International Conference on Information Fusion Proceedings of the 2010 13th International Conference on Information Fusion 1?7. [37] Pollard, E. ´ Evaluation de situations dynamiques multicibles par fusion de donnédonn´donné es spatio-temporelles, 1993.

. D. Ph, D. Dissertation-schuhmacher, B. Vo, and B. Vo, A consistent metric for performance evaluation of multi-object filters, IEEE Transactions on Signal Processing, vol.56, issue.8, pp.3447-3457, 2008.