Automatic change detection in an indoor environment

Identifying moving objects from a video sequence is a fundamental task in many computer-vision applications. Background subtraction is a widely used approach for detecting moving objects from static cameras. However, this approach is very sensitive to scene changes due to changes in lighting and movement of background objects, therefore, it should be carefully modeled to be adaptive to any of those changes. This paper proposes a fully adaptive background subtraction method which could automatically detect moving people in different fields of view.