Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features


We address an essential problem in computer vision, that of unsupervised foreground object segmentation in video, where a main object of interest in a video sequence should be automatically separated from its background. An efficient solution to this task would enable large-scale video interpretation at a high semantic level in the absence of the costly… (More)
DOI: 10.1109/ICCV.2017.544

10 Figures and Tables


  • Presentations referencing similar topics