A noise robust method for change detection

IEEE International Conference on Image Processing

Volumn 2, Issue , 2003, Pages 391-394

  De Geyter, Matthias ^a   Philips, Wilfried ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS;

NOISE-SENSITIVITY; RECURSIVE EQUATIONS; VIDEO SEQUENCES;

MOTION ESTIMATION;

EID: 0345134588     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. M. Benjanin, A. Huertas, G. Medioni, and R. Nevatia, "Model validation for change detection," in IEEE Workshop on Applications of Computer Vision, Sarasota, Florida, December 1994, pp. 160-167.
3. R. Jain and K. Skifstad, "Illumination independent change detection from real world image sequences," Computer Vision, Graphics, and Image Processing, vol. 46, pp. 387-399, 1989.
4. Y. Z. Hsu, H. H. Nagel, and G. Refers, "New likelihood test methods for change detection in image sequences," Computer Vision, Graphics, and Image Processing, vol. 26, pp. 73-106, 1984.
5. P. L. Rosin, "Thresholding for change detection," in ICCV, Bombay, India, January 1998, pp. 274-279.
6. D. Toth, T. Aach, and V. Metzler, "Illumination-invariant change detection," in 4th IEEE South-west Symposium on Image Analysis and Interpretation, Austin, Texas, April 2000.
7. D. Toth, T. Aach, and V. Metzler, "Bayesian spatio-temporal motion detection under varying illumination," in European Signal Processing Conference, Tampere, Finland, September 2000.