Aggarwal A, Triggs B. (2004). Learning to track 3D human motion from silhouettes Proc 21st Intl Conf Mach Learn .
Aggarwal JK. (2003). Problems, ongoing research and future directions in motion research Machine Vision And Applications. 14
Aggarwal JK, Cai Q. (1999). Human motion analysis: A review Computer Vision And Image Understanding. 73
Bowden R. (2000). Learning statistical models of human motion Paper presented at the IEEE Workshop on Human Modeling Analysis and Synthesis.
Buxton H. (2003). Learning and understanding dynamics scene activity: A review Image And Vision Computing. 21
Cunado D, Nixon M, Carter J. (2003). Automatic extraction and description of human gait models for recognition purposes Computer Vision And Image Understanding. 90
Dariush B. (2003). Human motion analysis for biomechanics and biomedicine Machine Vision Appl. 14
Forsyth D, Arikan O. (2002). Interactive motion generation from examples ACM Trans on Graphics. 21
Freeman W, Howe N, Leventon M. (1999). Bayesian reconstruction of 3D human motion from single-camera video Advances in neural information processing systems. 12
Freeman W, Leventon M. (1998). Bayesian estimation of 3D human motion froman image sequence Tech Rep 98-06 Mitsubishi Electric Research Laboratory.
Gavrila D. (1999). The visual analysis of human motion: A survey Computer Vision and Image Understanding. 73
Giese M, Mezger J, Ilg W. (2005). Trajectory synthesis by hierarchical spatiotemporal correspondence: Comparison of different methods Proc ACM Symposium Appl Percept Graph Visualization.
Grochow K, Martin S, Hertzmann A, Popovic Z. (2004). Style-based inverse kinematics ACM Trans Graphics. 23
Hall P, Karaulova I, Marshall A. (2002). Tracking people in three dimensions using a hierarchical model of dynamics Image And Vision Computing. 20
Hodgins J, Chai J. (2005). Performance animation from low-dimensional control signals ACM Trans Graphics. 24
Jepson A, Fleet D, El-Maraghi T. (2003). Robust online appearance models forvisual tracking IEEE Trans Pattern Anal Mach Intell. 25
Kakadiaris I, Metaxas D. (2000). Model-based estimation of 3D human motion IEEE Trans Pattern Anal Mach Intell. 22
Kovar L, Gleicher M. (2003). Flexible automatic motion blending with registration curves Proc Symposium on Computer Animation.
Mather G, Murdoch L. (1994). Gender discrimination in biological motion displays based on dynamic cues Proc Royal Soc Lond Series B. 258
Mitchell T, Bowden R, Sarhadi M. (2000). Non-linear statistical models for the 3D reconstruction of human pose and motion from monocular image sequences Image And Vision Computing. 18
Moeslund T, Granum E. (2001). A survey of computer vision-based human motion capture Computer Vision And Image Understanding. 81
Ong E, Gong S. (2002). The dynamics of linear combinations: Tracking 3D skeletons of human subjects Image And Vision Computing. 20
Poggio T, Giese M. (2000). Morphable models for the analysis and synthesis of complex motion patterns Intl J Computer Vis. 38
Sclaroff S, Rosales R, Siddiqui M, Alon J. (2001). Estimating 3D body pose using uncalibrated cameras Proc Computer Vision and Pattern Recognition Conference. 1
Silverman B, Ramsay J. (1997). Functional data analysis.
Triggs B, Sminchisescu C. (2003). Kinematic jump processes for monocular 3D human tracking Proc Computer Vision And Pattern Recognition Conference. 1
Troje NF. (2002). Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. Journal of vision. 2 [PubMed]
Troje NF. (2002). The little difference: Fourier based gender classification from biological motion Dynamic Perception.
Unuma M, Anjyo K, Takeuchi R. (1995). Fourier principles for emotion-based human figure animation Proc SIGGRAPH.
Urtasun R, Fua P. (2004). 3D human body tracking using deterministic temporal motion models Proc 8th Euro Conf Comput Vision.
Urtasun R, Fua P. (2004). 3D tracking for gait characterization and recognition Proc 6th Intl Conf Auto Face and Gesture Recognition.
Vetter T, Blanz V. (2003). Face recognition based on fitting a 3D morphable model IEEE Trans Pattern Anal Mach Intell. 25
Viola P, Hodgins J, Ren L, Shakhnarovich R, Pfister H. (2005). Learning silhouette features for control of human motion ACM Trans Graphics. 24
Wang L, Ning HZ, Tan TN, Hu WM. (2003). Silhouette analysis-based gait recognition for human identification IEEE Trans Pattern Anal Mach Intell. 25
Wang L, Ning HZ, Tan TN, Hu WM. (2004). Kinematics-based tracking of human walking in monocular video sequences Image And Vision Computing. 22
Wang L, Tan TN, Hu WM. (2003). Recent developments in human motion analysis Pattern Recog. 36
Williams L, Bruderlin A. (1995). Motion signal processing Proc SIGGRAPH. 95
Yacoob Y, Black M. (1999). Parameterized modeling and recognition of activities Computer Vision And Image Understanding. 73