A new descriptor for Keypoint-Based background modeling
Background modeling is a preliminary task for many computer vision applications, describing static elements of a scene and isolating foreground ones. Defining a robust background model of uncontrolled environments is a current challenge since the model must manage many issues, e.g., moving cameras, dynamic background, bootstrapping, shadows, and illumination changes.