DEEP-SEE: Joint Object Detection, Tracking and Recognition with Application to Visually Impaired Navigational Assistance

In this paper, we introduce the so-called DEEP-SEE framework that jointly exploits computer vision algorithms and deep convolutional neural networks (CNNs) to detect, track and recognize in real time objects encountered during navigation in the outdoor environment. A first feature concerns an object...

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Bibliographic Details
Main Authors: Ruxandra Tapu, Bogdan Mocanu, Titus Zaharia
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/11/2473