Interactive deep learning method for segmenting moving objects

With the increasing number of machine learning methods used for segmenting images and analyzing videos, there has been a growing need for large datasets with pixel accurate ground truth. In this letter, we propose a highly accurate semi-automatic method for segmenting foreground moving objects pictured in surveillance videos. Given a limited number of user interventions, the goal of the method is to provide results sufficiently accurate to be...