Deep Learning for Assistive Computer Vision.

This paper revises the main advances in assistive computer vision recently fostered by deep learning. To this aim, we rst discuss how the application of deep learning in computer vision has contributed to the development of assistive techinologies, then analyze the recent advances in assistive technologies achieved in ve main areas, namely, object classication and localization, scene understanding, human pose estimation and tracking, action/event recognition and anticipation. The paper is concluded with a discussion and insights for future directions.