Skip to the main content

Original scientific paper

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


Full text: english pdf 507 Kb

page 349-353

downloads: 840

cite


Abstract

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.

Keywords

Hrčak ID:

44833

URI

https://hrcak.srce.hr/44833

Publication date:

30.12.2000.

Visits: 1.301 *