A Systematic Approach to Learning Object Segmentation from Motion


This paper describes the initial results of a project to create a self-supervised algorithm for learning object segmentation from video data. Developmental psychology and computational experience have demonstrated that the motion segmentation of objects is a simpler, more primitive process than the detection of object boundaries by static image cues… (More)


5 Figures and Tables