Open Access
1 March 2009 Performance evaluation of foreground modeling in moving foreground segmentation
Xiang Zhang, Jie Yang, Zhi Liu
Author Affiliations +
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.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Xiang Zhang, Jie Yang, and Zhi Liu "Performance evaluation of foreground modeling in moving foreground segmentation," Optical Engineering 48(3), 030505 (1 March 2009). https://doi.org/10.1117/1.3094946
Published: 1 March 2009
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Motion models

Image segmentation

Performance modeling

Statistical modeling

Statistical analysis

Visual process modeling

Binary data

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