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Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information

, and . Proceedings of the Seventh International Conference on Information Fusion, II, page 709--716. Mountain View, CA, International Society of Information Fusion, (June 2004)

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Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information, and . Proceedings of the Seventh International Conference on Information Fusion, II, page 709--716. Mountain View, CA, International Society of Information Fusion, (June 2004)Joint Target Tracking and Classification via Sequential Monte Carlo Filtering, and . Advances and Challenges in Multisensor Data and Information Processing, (2007)Estimation of Markovian Jump Systems with Unknown Transition Probabilities through Bayesian Sampling., , and . Numerical Methods and Application, volume 2542 of Lecture Notes in Computer Science, page 307-315. Springer, (2002)Monte Carlo Algorithm for Maneuvering Target Tracking and Classification., , and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 531-539. Springer, (2004)Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks., and . FUSION, page 1-8. IEEE, (2010)Monte Carlo Algorithm for Ballistic Object Tracking with Uncertain Drag Parameter., , and . LSSC, volume 2907 of Lecture Notes in Computer Science, page 112-120. Springer, (2003)Contour extraction from ultrasound images viewed as a tracking problem., and . FUSION, page 284-291. IEEE, (2009)Autonomous crowds tracking with box particle filtering and convolution particle filtering., , , , and . Autom., (2016)Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks., , , and . FUSION, page 1-7. IEEE, (2006)A sequential Monte Carlo approach for extended object tracking in the presence of clutter., , , and . GI-Jahrestagung, volume P-192 of LNI, page 494. GI, (2011)