3D Human Motion Analysis in Monocular Video Techniques and Challenges
暂无分享,去创建一个
[1] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[2] Cristian Sminchisescu,et al. Training Deformable Models for Localization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[3] 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).
[4] Dariu Gavrila,et al. The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..
[5] Jitendra Malik,et al. Tracking people with twists and exponential maps , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[6] Cristian Sminchisescu,et al. Discriminative density propagation for 3D human motion estimation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Neil A. Dodgson,et al. Proceedings Ninth IEEE International Conference on Computer Vision , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[8] Hsi-Jian Lee,et al. Determination of 3D human body postures from a single view , 1985, Comput. Vis. Graph. Image Process..
[9] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[10] Ankur Agarwal,et al. Monocular Human Motion Capture with a Mixture of Regressors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.
[11] Bhaskar D. Rao,et al. Perspectives on Sparse Bayesian Learning , 2003, NIPS.
[12] Steve R. Waterhouse,et al. Bayesian Methods for Mixtures of Experts , 1995, NIPS.
[13] Cristian Sminchisescu,et al. Generative modeling for continuous non-linearly embedded visual inference , 2004, ICML.
[14] Cristian Sminchisescu,et al. Density Propagation for Continuous Temporal Chains Generative and Discriminative Models , 2004 .
[15] Cristian Sminchisescu,et al. Conditional Random Fields for Contextual Human Motion Recognition , 2005, ICCV.
[16] Michael J. Black,et al. Gibbs likelihoods for Bayesian tracking , 2004, CVPR 2004.
[17] M. Bertero,et al. Ill-posed problems in early vision , 1988, Proc. IEEE.
[18] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[19] Ioannis A. Kakadiaris,et al. Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[21] Cristian Sminchisescu,et al. Estimating Articulated Human Motion with Covariance Scaled Sampling , 2003, Int. J. Robotics Res..
[22] Daniel P. Huttenlocher,et al. Beyond trees: common-factor models for 2D human pose recovery , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[23] M. Lee,et al. Proposal maps driven MCMC for estimating human body pose in static images , 2004, CVPR 2004.
[24] Cristian Sminchisescu,et al. Hyperdynamics Importance Sampling , 2002, ECCV.
[25] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[26] Rómer Rosales,et al. Learning Body Pose via Specialized Maps , 2001, NIPS.
[27] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[28] Dimitris N. Metaxas,et al. Learning to Reconstruct 3 D Human Motion from Bayesian Mixtures of Experts . A Probabilistic Discriminative Approach , 2004 .
[29] Hans-Hellmut Nagel,et al. Tracking Persons in Monocular Image Sequences , 1999, Comput. Vis. Image Underst..
[30] Rui Li,et al. Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers , 2006, ECCV.
[31] Michael Isard,et al. ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework , 1998, ECCV.
[32] D. Donoho,et al. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[33] Michael J. Black,et al. Learning image statistics for Bayesian tracking , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[34] Cristian Sminchisescu. Consistency and coupling in human model likelihoods , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[35] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[36] C. Sminchisescu,et al. Variational mixture smoothing for non-linear dynamical systems , 2004, CVPR 2004.
[37] Roberto Cipolla,et al. Real-time tracking of highly articulated structures in the presence of noisy measurements , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[38] Luc Van Gool,et al. Full body tracking from multiple views using stochastic sampling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[39] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[40] 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).
[41] Sidharth Bhatia,et al. Tracking loose-limbed people , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[42] William T. Freeman,et al. Bayesian Reconstruction of 3D Human Motion from Single-Camera Video , 1999, NIPS.
[43] A. Elgammal,et al. Inferring 3D body pose from silhouettes using activity manifold learning , 2004, CVPR 2004.
[44] Jitendra Malik,et al. Estimating Human Body Configurations Using Shape Context Matching , 2002, ECCV.
[45] Carlo Tomasi,et al. 3D tracking = classification + interpolation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[46] Michael Isard,et al. A Smoothing Filter for CONDENSATION , 1998, ECCV.
[47] Trevor Darrell,et al. Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[48] Camillo J. Taylor,et al. Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image , 2000, Comput. Vis. Image Underst..
[49] Cristian Sminchisescu,et al. Kinematic jump processes for monocular 3D human tracking , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[50] David J. Fleet,et al. Priors for people tracking from small training sets , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[51] A. Kennedy,et al. Hybrid Monte Carlo , 1988 .
[52] Cristian Sminchisescu,et al. Generalized Darting Monte Carlo , 2007, AISTATS.
[53] Zoran Popovic,et al. The space of human body shapes: reconstruction and parameterization from range scans , 2003, ACM Trans. Graph..
[54] Matthew Brand,et al. Shadow puppetry , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[55] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[56] Cristian Sminchisescu,et al. Building Roadmaps of Local Minima of Visual Models , 2002, ECCV.
[57] Cristian Sminchisescu,et al. BM³E : Discriminative Density Propagation for Visual Tracking , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] Michael Isard,et al. Active Contours , 2000, Springer London.
[59] Andrew McCallum,et al. Maximum Entropy Markov Models for Information Extraction and Segmentation , 2000, ICML.
[60] David J. Fleet,et al. People tracking using hybrid Monte Carlo filtering , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[61] Cristian Sminchisescu,et al. Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[62] Bernhard Schölkopf,et al. Kernel Dependency Estimation , 2002, NIPS.
[63] Radford M. Neal. Annealed importance sampling , 1998, Stat. Comput..
[64] Hans-Peter Seidel,et al. Free-viewpoint video of human actors , 2003, ACM Trans. Graph..