Hybrid Monte Carlo filtering: edge-based people tracking
暂无分享,去创建一个
[1] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[2] A. Kennedy,et al. Hybrid Monte Carlo , 1987 .
[3] Edward H. Adelson,et al. The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[4] David J. Fleet,et al. Stability of phase information , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[5] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[6] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[7] Jun S. Liu,et al. Sequential Monte Carlo methods for dynamic systems , 1997 .
[8] Michael Isard,et al. ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework , 1998, ECCV.
[9] Michael Isard,et al. Active Contours , 2000, Springer London.
[10] P. Fearnhead,et al. Improved particle filter for nonlinear problems , 1999 .
[11] James M. Rehg,et al. A multiple hypothesis approach to figure tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[12] David J. Fleet,et al. Probabilistic detection and tracking of motion discontinuities , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[13] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[14] 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).
[15] Michael Isard,et al. Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking , 2000, ECCV.
[16] Michael A. West,et al. Combined Parameter and State Estimation in Simulation-Based Filtering , 2001, Sequential Monte Carlo Methods in Practice.
[17] David J. Fleet,et al. People tracking using hybrid Monte Carlo filtering , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[18] R. Plankers,et al. Articulated soft objects for video-based body modeling , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[19] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[20] David J. Fleet,et al. Probabilistic Detection and Tracking of Motion Boundaries , 2000, International Journal of Computer Vision.
[21] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.