Abstract:
Foreground object extraction is an important
subject for computer vision applications. The
separation of foreground objects form the
background is the crucial step in application such as
video surveillance. In order to extract foreground
object from a video scene, a background model which
can represent dynamic changes in the scene is
required. A robust, accurate and high performance
approach is still a great challenge today. In this
paper, the background modeling approach based on
Codebook model with Kalman Filter is presented.
This approach can be used to extract foreground
objects from the video stream. The Lab color space is
used in this approach to calculate color difference
between two pixels using CIEDE2000 color
difference formula. extracted foreground object from
video sequence using this approach is useful for
object detection in video surveillance applications.
