Variational inference for visual tracking
暂无分享,去创建一个
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[3] Y. Bar-Shalom. Tracking and data association , 1988 .
[4] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[5] Jitendra Malik,et al. Robust Multiple Car Tracking with Occlusion Reasoning , 1994, ECCV.
[6] Steve R. Waterhouse,et al. Bayesian Methods for Mixtures of Experts , 1995, NIPS.
[7] Jun S. Liu,et al. Sequential Monte Carlo methods for dynamic systems , 1997 .
[8] M. Pitt,et al. Filtering via Simulation: Auxiliary Particle Filters , 1999 .
[9] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[10] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.
[11] Andrew Blake,et al. Articulated body motion capture by annealed particle filtering , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[12] Neil J. Gordon,et al. Editors: Sequential Monte Carlo Methods in Practice , 2001 .
[13] Radek Grzeszczuk,et al. A data-driven model for monocular face tracking , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[14] Michael Isard,et al. BraMBLe: a Bayesian multiple-blob tracker , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[15] Nando de Freitas,et al. Rao-Blackwellised Particle Filtering via Data Augmentation , 2001, NIPS.
[16] Patrick Pérez,et al. JetStream: probabilistic contour extraction with particles , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[17] Patrick Pérez,et al. Color-Based Probabilistic Tracking , 2002, ECCV.
[18] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .