Motion interpretation using adjustable linear models

BMVC 2008 - Proceedings of the British Machine Vision Conference 2008

Volumn , Issue , 2008, Pages

  Chessa, Manuela ^a   Solari, Fabio ^a   Sabatini, Silvio P ^a   Bisio, Giacomo M ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; MODEL CHECKING;

3D SURFACE RECONSTRUCTION; CONTEXT INFORMATION; EGO-MOTION ESTIMATION; MOTION INTERPRETATIONS; MULTIPLE MODEL KALMAN FILTER; RELIABLE ESTIMATES; SPATIAL INTERACTION; SPATIAL PROPERTIES;

COMPUTER VISION;

EID: 84898456047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.22.24     Document Type: Conference Paper

References (16)

1. N. Ancona and T. Poggio. Optical flow from 1-d correlation: Application to a simple time-to-crash detector. Int. J. Computer Vision, 14(2), 1995.
2. Y. Bar-Shalom and X.R. Li. Estimation and Tracking, Principles, Techniques, and Software. Artech House, 1993.
3. J.L. Barron, D.J. Fleet, and Beauchemin S.S. Performance of optical flow techniques. Int. J. of Computer Vision, 12:43-76, 1994.
4. M.J. Black and Y. Yacoob. Recognizing facial expression in image sequences using local parameterized models of image motion. Int. J. of Computer Vision, 25(1):23-48, 1997.
5. A. Calway. Recursive estimation of the 3d motion and surface structure from local affine flow paramters. IEEE Trans. on PAMI, 27(4):562-574, 2005.
6. M. Chessa, S. P. Sabatini, F. Solari, and G. M. Bisio. A recursive approach to the design of adjustable linear models for complex motion analysis. In SPPRA'07, pages 33-38, 2007.
7. R. Cipolla and A. Blake. Image divergence and deformation from closed curves. International Journal of Robotics Research, 16(1):77-96, 1997.
8. D.J. Fleet, M.J. Black, Y. Yacoob, and A.D. Jepson. Design and use of linear models for image motion analysis. Int. J. of Computer Vision, 36(3):171-193, 2000.
9. S. C. Fu and P. Kovesi. Extracting differential inavriants of motion directly from optical flow. 13th SCSSE, 1:108-116, 2004.
10. J.J. Koenderink. Optic flow. Vision Res., 26(1):161-179, 1986.
11. F. G. Meyer and P. Bouthemy. Region-based tracking using affine motion models in long image sequences. CVGIP: Image Understanding, 60(2):119-140, 1994.
12. R.C. Nelson and J. Aloimonos. Obstacle avoidance using flow field divergence. IEEE Trans. on PAMI, 11(10):1102-1106, 1989.
13. G.A. Orban. The analysis of motion signal and the nature of processing in the primate system. In Artificial and Biological Vision System, pages 24-56. ESPRIT Basic Research Series, 1992.
14. S. M. Smith and J. M. Brady. Asset-2: Real-time motion segmentation and shape tracking. IEEE Trans. on PAMI, 17(9):814-820, 1995.
15. Huang Yu, Guangyou Xu, and Yuanxin Zhu. Extraction of spatial-temporal features for vision-based gesture recognition. J. Comput. Sci. Technol., 15(1):64-72, 2000.
16. Z. Zhang and O. D. Faugeras. Three-dimensional motion computation and object segmentation in a long sequence of stereo frames. Int. J. of Computer Vision, 7(3):211-241, 1992.