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https://doi.org/10.2498/cit.2000.04.10

Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation

Heinrich Niemann
Dietrich Paulus
Yu Huang

Puni tekst: engleski, pdf (507 KB) str. 349-353 preuzimanja: 646* citiraj
APA 6th Edition
Niemann, H., Paulus, D. i Huang, Y. (2000). Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation. Journal of computing and information technology, 8 (4), 349-353. https://doi.org/10.2498/cit.2000.04.10
MLA 8th Edition
Niemann, Heinrich, et al. "Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation." Journal of computing and information technology, vol. 8, br. 4, 2000, str. 349-353. https://doi.org/10.2498/cit.2000.04.10. Citirano 28.02.2021.
Chicago 17th Edition
Niemann, Heinrich, Dietrich Paulus i Yu Huang. "Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation." Journal of computing and information technology 8, br. 4 (2000): 349-353. https://doi.org/10.2498/cit.2000.04.10
Harvard
Niemann, H., Paulus, D., i Huang, Y. (2000). 'Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation', Journal of computing and information technology, 8(4), str. 349-353. https://doi.org/10.2498/cit.2000.04.10
Vancouver
Niemann H, Paulus D, Huang Y. Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation. Journal of computing and information technology [Internet]. 2000 [pristupljeno 28.02.2021.];8(4):349-353. https://doi.org/10.2498/cit.2000.04.10
IEEE
H. Niemann, D. Paulus i Y. Huang, "Background-Foreground Segmentation Based on Dominant Motion Estimation and Static Segmentation", Journal of computing and information technology, vol.8, br. 4, str. 349-353, 2000. [Online]. https://doi.org/10.2498/cit.2000.04.10

Sažetak
This paper addresses the problem of image segmentation using motion and luminance information. We use the dominant motion model to calculate both the background and foreground motion in a robust estimation framework and then combine it with the result of static segmentation using the watershed algorithm to segment the foreground from the background. In this paper, the previous pixelbased (or over a small neighborhood) motion measure is replaced by the patch-based motion measure in motion segmentation. Experimental results are given to show the efficiency of our method.

Hrčak ID: 44833

URI
https://hrcak.srce.hr/44833

Posjeta: 810 *