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2019 | OriginalPaper | Buchkapitel

Deep Learning for Assistive Computer Vision

verfasst von : Marco Leo, Antonino Furnari, Gerard G. Medioni, Mohan Trivedi, Giovanni M. Farinella

Erschienen in: Computer Vision – ECCV 2018 Workshops

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
Deep Learning for Assistive Computer Vision
verfasst von
Marco Leo
Antonino Furnari
Gerard G. Medioni
Mohan Trivedi
Giovanni M. Farinella
Copyright-Jahr
2019
Buch
Computer Vision – ECCV 2018 Workshops

Print ISBN: 978-3-030-11023-9

Electronic ISBN: 978-3-030-11024-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-11024-6_1

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