Simulink Model Design for Real-Time Moving Object Detection using Background Subtraction Algorithm

Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. Background subtraction methods are widely exploited for moving object detection in videos in many applications. In recent years extensive investigations and analyses have been done in the domain of moving object detection. Detection of moving objects in video processing plays a very important role in many vision applications. The vision systems that include image processing methods are widely implemented in many areas. This background subtraction algorithm is implemented using MATLAB/ Simulink. It provides number of blocks related to the image processing and it is very easy to implement the models.