  Background modeling techniques are used for moving object detection in video.
Many algorithms exist in the field of object detection with different purposes.
In this paper, we propose an improvement of moving object detection based on
codebook segmentation. We associate the original codebook algorithm with an
edge detection algorithm. Our goal is to prove the efficiency of using an edge
detection algorithm with a background modeling algorithm. Throughout our study,
we compared the quality of the moving object detection when codebook
segmentation algorithm is associated with some standard edge detectors. In each
case, we use frame-based metrics for the evaluation of the detection. The
different results are presented and analyzed.
