Activity recognition using the dynamics of the configuration of interacting objects
暂无分享,去创建一个
Rama Chellappa | Amit K. Roy-Chowdhury | Namrata Vaswani | R. Chellappa | A. Roy-Chowdhury | Namrata Vaswani
[1] Wolfram Burgard,et al. Tracking multiple moving targets with a mobile robot using particle filters and statistical data association , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[2] J. Kent. The Complex Bingham Distribution and Shape Analysis , 1994 .
[3] Rama Chellappa,et al. Statistical shape theory for activity modeling , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[4] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[5] Lorenzo Torresani,et al. Space-Time Tracking , 2002, ECCV.
[6] T. K. Carne,et al. Shape and Shape Theory , 1999 .
[7] Ramakant Nevatia,et al. Description and tracking of moving articulated objects , 1994, Systems and Computers in Japan.
[8] Namrata Vaswani. A linear classifier for Gaussian class conditional distributions with unequal covariance matrices , 2002, Object recognition supported by user interaction for service robots.
[9] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[10] Ralph Roskies,et al. Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.
[11] David Mumford,et al. Mathematical theories of shape: do they model perception? , 1991, Optics & Photonics.
[12] Ian L. Dryden,et al. Statistical shape analysis in high-level vision , 2003 .
[13] Azriel Rosenfeld,et al. 3D object tracking using shape-encoded particle propagation , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[14] Michael Isard,et al. Contour Tracking by Stochastic Propagation of Conditional Density , 1996, ECCV.
[15] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[16] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[17] W. Eric L. Grimson,et al. Using adaptive tracking to classify and monitor activities in a site , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[18] Ronen Basri,et al. Determining the similarity of deformable shapes , 1998, Vision Research.
[19] Nicholas Ayache,et al. Tracking Points on Deformable Objects Using Curvature Information , 1992, ECCV.
[20] Andrew Blake,et al. A probabilistic contour discriminant for object localisation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[21] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[22] Berthold K. P. Horn. Extended Gaussian images , 1984, Proceedings of the IEEE.
[23] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[24] B. Azimi-Sadjadi,et al. Change detection for nonlinear systems; a particle filtering approach , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[25] Stefano Soatto,et al. DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images , 2002, ECCV.
[26] David G. Kendall,et al. Shape & Shape Theory , 1999 .
[27] Ramakant Nevatia,et al. Multi-agent event recognition , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.