This paper revises the main advances in assistive computer vision recently fostered by deep learning. To this aim, we first 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 five main areas, namely, object classification 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.

Deep learning for assistive computer vision

Furnari, Antonino;Farinella, Giovanni M.
2019

Abstract

This paper revises the main advances in assistive computer vision recently fostered by deep learning. To this aim, we first 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 five main areas, namely, object classification 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.
9783030110239
Assistive technologies; Computer vision; Deep learning; Theoretical Computer Science; Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/365578
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