Particle Filtering for Random Sets
暂无分享,去创建一个
[1] Y. Bar-Shalom,et al. Tracking in a cluttered environment with probabilistic data association , 1975, Autom..
[2] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[3] D. Reid. An algorithm for tracking multiple targets , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[4] Yaakov Bar-Shalom,et al. Sonar tracking of multiple targets using joint probabilistic data association , 1983 .
[5] S. Stankovic,et al. Integrated probabilistic data association (IPDA) , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.
[6] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[7] Michael I. Miller,et al. Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition , 1995, IEEE Trans. Signal Process..
[8] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[9] K. Kastella. Joint multitarget probabilities for detection and tracking , 1997 .
[10] N. Gordon. A hybrid bootstrap filter for target tracking in clutter , 1995, IEEE Transactions on Aerospace and Electronic Systems.
[11] I. R. Goodman,et al. Mathematics of Data Fusion , 1997 .
[12] Keith D. Kastella,et al. Practical implementation of joint multitarget probabilities , 1998, Defense, Security, and Sensing.
[13] Neil J. Gordon,et al. Group and extended object tracking , 1999, Optics & Photonics.
[14] Andrew Blake,et al. A Probabilistic Exclusion Principle for Tracking Multiple Objects , 2000, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[15] Ronald Mahler,et al. Search for tractable Bayesian multitarget filters , 2000, SPIE Defense + Commercial Sensing.
[16] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[17] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[18] Patrick Pérez,et al. The (MR)MTPF: particle filters to track multiple targets using multiple receivers , 2001 .
[19] M. Kouritzin,et al. A Branching Particle-based Nonlinear Filter for Multi-target Tracking , 2001 .
[20] Michael Isard,et al. BraMBLe: a Bayesian multiple-blob tracker , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[21] Ronald P. S. Mahler,et al. Multitarget filtering using a multitarget first-order moment statistic , 2001, SPIE Defense + Commercial Sensing.
[22] Patrick Pérez,et al. Sequential Monte Carlo methods for multiple target tracking and data fusion , 2002, IEEE Trans. Signal Process..
[23] Ronald P. S. Mahler,et al. Extended first-order Bayes filter for force aggregation , 2002, SPIE Defense + Commercial Sensing.
[24] A. Doucet,et al. Particle filtering for multi-target tracking and sensor management , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[25] B. Vo,et al. Bayesian approaches to track existence - IPDA and random sets , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[26] Darko Musicki,et al. Joint Integrated Probabilistic Data Association - JIPDA , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[27] Hedvig Kjellström,et al. Tracking Random Sets of Vehicles in Terrain , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.
[28] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[29] Hedvig Kjellström,et al. Multi-target particle filtering for the probability hypothesis density , 2003, ArXiv.
[30] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.