Moving object detection and tracking using background subtraction

Moving object detection is a fundamental task required for many image and video processing applications like video surveillance, medical imaging, satellite imaging, biometrics identification, automated inspection in industry products etc. An important approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. By detecting the object in the scene and tracking it many parameters can be determined. One of the output parameter of Object detection and tracking is to estimate the velocity of the object in the scene by calculating the distance travelled. This estimate can then be used for Intelligence video surveillance, Sports analysis etc.