Representing cyclic human motion using functional analysis
暂无分享,去创建一个
Michael J. Black | Trevor J. Hastie | Hedvig Kjellström | Dirk Ormoneit | T. Hastie | H. Kjellström | Dirk Ormoneit
[1] Michael J. Black,et al. A Framework for Robust Subspace Learning , 2003, International Journal of Computer Vision.
[2] Peter Hall,et al. Nonparametric estimation of a periodic function , 2000 .
[3] J. Faraway. Regression analysis for a functional response , 1997 .
[4] William T. Freeman,et al. Bayesian Reconstruction of 3D Human Motion from Single-Camera Video , 1999, NIPS.
[5] R. Brand,et al. The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .
[6] Michael J. Black,et al. Parameterized Modeling and Recognition of Activities , 1999, Comput. Vis. Image Underst..
[7] Michael J. Black,et al. Learning and Tracking Cyclic Human Motion , 2000, NIPS.
[8] Jessica K. Hodgins,et al. Interactive control of avatars animated with human motion data , 2002, SIGGRAPH.
[9] B. Silverman,et al. Estimating the mean and covariance structure nonparametrically when the data are curves , 1991 .
[10] James W. Davis,et al. An appearance-based representation of action , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[11] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[12] Hiroshi Murase,et al. Moving object recognition in eigenspace representation: gait analysis and lip reading , 1996, Pattern Recognit. Lett..
[13] Karl Rohr,et al. Human Movement Analysis Based on Explicit Motion Models , 1997 .
[14] Michael J. Black,et al. Parameterized modeling and recognition of activities in temporal surfaces , 1999 .
[15] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[16] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[17] Richard A. Olshen,et al. Gait Analysis and the Bootstrap , 1989 .
[18] J. Ramsay,et al. Principal components analysis of sampled functions , 1986 .
[19] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[20] Matthew Brand,et al. Shadow puppetry , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[21] M. P. Murray. Gait as a total pattern of movement. , 1967, American journal of physical medicine.
[22] Mubarak Shah,et al. Motion-Based Recognition , 1997, Computational Imaging and Vision.
[23] N. Troje. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. , 2002, Journal of vision.
[24] Adrian Hilton,et al. Realistic synthesis of novel human movements from a database of motion capture examples , 2000, Proceedings Workshop on Human Motion.
[25] David J. Fleet,et al. Monocular 3D tracking of the golf swing , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[26] Christoph Bregler,et al. Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[27] 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).
[28] Pietro Perona,et al. Reach out and touch space (motion learning) , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[29] K. Rohr. Towards model-based recognition of human movements in image sequences , 1994 .
[30] Rama Chellappa,et al. Identification of humans using gait , 2004, IEEE Transactions on Image Processing.
[31] Charles R. Dyer,et al. Cyclic motion detection using spatiotemporal surfaces and curves , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[32] Harry Shum,et al. Motion texture: a two-level statistical model for character motion synthesis , 2002, ACM Trans. Graph..
[33] Michael J. Black,et al. A framework for modeling the appearance of 3D articulated figures , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[34] Richard A. Brand,et al. The biomechanics and motor control of human gait: Normal, elderly, and pathological , 1992 .
[35] Mark S. Nixon,et al. Advances in automatic gait recognition , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..
[36] Michael Gleicher. Animation from observation: Motion capture and motion editing , 1999, COMG.
[37] Kenji Amaya,et al. Emotion from Motion , 1996, Graphics Interface.
[38] 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).
[39] R. Bowden. Learning Statistical Models of Human Motion , 2000 .
[40] C. Radke. International Conference on Computer Design , 2022 .
[41] J. Little,et al. Recognizing People by Their Gait: The Shape of Motion , 1998 .
[42] Pascal Fua,et al. 3D Human Body Tracking Using Deterministic Temporal Motion Models , 2004, ECCV.
[43] Murray Mp,et al. Gait as a total pattern of movement. , 1967 .
[44] B. Silverman,et al. Functional Data Analysis , 1997 .
[45] Michael Isard,et al. Contour Tracking by Stochastic Propagation of Conditional Density , 1996, ECCV.
[46] Steven M. Seitz,et al. Affine invariant detection of periodic motion , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[47] M. Nixon,et al. Human gait recognition in canonical space using temporal templates , 1999 .
[48] Vladimir Pavlovic,et al. A dynamic Bayesian network approach to figure tracking using learned dynamic models , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[49] Aaron F. Bobick,et al. Gait recognition using static, activity-specific parameters , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[50] Michael J. Black,et al. Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[51] Hedvig Sidenbladh. Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences , 2001 .
[52] Aaron F. Bobick,et al. Recognition of human body motion using phase space constraints , 1995, Proceedings of IEEE International Conference on Computer Vision.
[53] Aaron Hertzmann,et al. Style machines , 2000, SIGGRAPH 2000.
[54] Mark S. Nixon,et al. Automatic extraction and description of human gait models for recognition purposes , 2003, Comput. Vis. Image Underst..
[55] Larry S. Davis,et al. Motion-based recognition of people in EigenGait space , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[56] Aaron F. Bobick,et al. Gait recognition from time-normalized joint-angle trajectories in the walking plane , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[57] Okan Arikan,et al. Interactive motion generation from examples , 2002, ACM Trans. Graph..
[58] Trevor Hastie,et al. Imputing Missing Data for Gene Expression Arrays , 2001 .
[59] Harry Shum,et al. Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Hans-Hellmut Nagel,et al. Tracking Persons in Monocular Image Sequences , 1999, Comput. Vis. Image Underst..
[61] Christoph Bregler,et al. Motion capture assisted animation: texturing and synthesis , 2002, ACM Trans. Graph..
[62] Robert T. Collins,et al. Silhouette-based human identification from body shape and gait , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[63] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[64] Larry S. Davis,et al. Learned Models for Estimation of Rigid and Articulated Human Motion from Stationary or Moving Camera , 2004, International Journal of Computer Vision.
[65] Ken-ichi Anjyo,et al. Fourier principles for emotion-based human figure animation , 1995, SIGGRAPH.
[66] B. Silverman,et al. Functional Data Analysis , 1997 .
[67] Michael J. Black,et al. A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions , 1998, ECCV.
[68] Ian D. Reid,et al. Articulated Body Motion Capture by Stochastic Search , 2005, International Journal of Computer Vision.
[69] David C. Hogg. Model-based vision: a program to see a walking person , 1983, Image Vis. Comput..
[70] Christoph Bregler,et al. Animating by multi-level sampling , 2000, Proceedings Computer Animation 2000.