Motion detection with an unstable camera

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 229-232

  Jodoin, Pierre Marc ^a   Konrad, Janusz ^b   Saligrama, Venkatesh ^b   Veilleux Gaboury, Vincent ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b Boston University   (United States)

Author keywords

Background subtraction; Camera jitter; Motion detection

Indexed keywords

ACCURATE MOTION DETECTION; BACKGROUND SUBTRACTION; CAMERA MOTION COMPENSATION; DYNAMICAL BEHAVIORS; FALSE POSITIVE; INDUCED MOTIONS; MOTION DETECTION; MOVING OBJECTS;

CAMERAS; IMAGING SYSTEMS; MOTION COMPENSATION; MOTION ESTIMATION;

JITTER;

EID: 69949164230     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711733     Document Type: Conference Paper

References (15)

1. D. Zhang and G. Lu, "Segmentation of moving objects in image sequence: A review," Circuits, Systems and Signal Process., vol. 20, no. 2, pp. 143-183, 2001.
2. P.L. Rosin and E. Ioannidis, "Evaluation of global image thresholding for change detection," Pattern Recognition Letters, vol. 24, pp. 2345-2356, 2003.
3. A. Neri, S. Colonnese, G. Russo, and P. Talone, "Automatic moving object and background separation," Signal Processing, vol. 66, no. 2, pp. 219-232, April 1998.
4. J. Konrad, Motion Detection and Estimation, chapter 3.10, Elsevier Academic Press, 2005.
5. C.R. Wren, A. Azarbayejani, T. Darrell, and A.P. Pentland, "Pfinder: Real-time tracking of the human body," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 780-785, 1997.
6. N. Friedman and S.J. Russell, "Image segmentation in video sequences: A probabilistic approach.," in UAI, 1997, pp. 175-181.
7. A. Mittal and D. Huttenlocher, "Scene modeling for wide area surveillance and image synthesis," in Proc. of CVPR, 2000, pp. 160-167.
8. C. Stauffer and E.L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 747-757, 2000.
9. A. Elgammal, R. Duraiswami, D. Harwood, and L.S. Davis, "Background and foreground modeling using nonparametric kernel density for visual surveillance," in Proc of the IEEE, 2002, vol. 90, pp. 1151-1163.
10. A. Mittal and N. Paragios, "Motion-based background subtraction using adaptive kernel density estimation.," in Proc. of CVPR, 2004, pp. 302-309.
11. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintenance.," in proc. of ICCV, 1999, pp. 255-261.
12. D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russell, "Towards robust automatic traffic scene analysis in real-time," in Proc of ICPR, 1994, pp. 126-131.
13. J. Zhong and S. Sclaroff, "Segmenting foreground objects from a dynamic textured background via a robust Kalman filter," in Proc of ICCV, 2003, pp. 44-50.
14. J.M. McHugh, "Probabilistic methods for adaptive background subtraction," M.S. thesis, Boston University, Dept. of Electr. and Comp. Eng., Jan. 2008.
15. E. L. Lehmann, Testing Statistical Hypothesis, Springer Texts in Statistics. Springer, 2nd edition, 1997.