An efficient low cost background subtraction method to extract foreground object during human tracking
Smitha Suresh, P. Deepak, Kamalesh Chitra · 2014
Moving object detection in video streams is the fundamental and relevant step in many computer vision applications such as video surveillance for people tracking. Background subtraction is a widely used approach for detecting moving objects in videos from static cameras. This paper describes an efficient background subtraction technique for extracting the moving objects from a scene. Gaussian mixture models (GMM) gives best results than other segmentation methods.