Performance evaluation of foreground modeling in moving foreground segmentation
Xiang Zhang · Optical Engineering · 2009
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.