RGB Motion Segmentation using Background Subtraction based on AMF
Yoon-Ho Kim · 한국정보전자통신기술학회 논문지 · 2014
Motion segmentation is a fundamental technique for analysing image sequences of real scenes. A process of identifying moving objects from data is a typical task in many computer vision applications. In this paper, we propose motion segmentation that generally consists from background subtraction and foreground pixel segmentation. The Approximated Median Filter(AMF) was chosen to perform background modeling. Motion segmentation in this paper covers RGB video data.