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Optical Engineering • Open Access

Performance evaluation of foreground modeling in moving foreground segmentation
Author(s): Xiang Zhang; Jie Yang; Zhi Liu

Paper Abstract

Nonparametric statistical modeling of background and foreground has been widely used for moving foreground segmentation from video sequences. In this work, a simple metric is presented to evaluate the performance of various foreground models. The proposed metric allows us to test the robustness of the foreground model to the motion and deformation of the moving foreground. Experiments are performed on five typical foreground models, showing that the proposed metric is effective.

Paper Details

Date Published: 1 March 2009
PDF: 3 pages
Opt. Eng. 48(3) 030505 doi: 10.1117/1.3094946
Published in: Optical Engineering Volume 48, Issue 3
Show Author Affiliations
Xiang Zhang, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Zhi Liu, Shanghai Univ. (China)

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