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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Detalles Bibliográficos
Autores principales: Tapu, Ruxandra, Mocanu, Bogdan, Zaharia, Titus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713031/
https://www.ncbi.nlm.nih.gov/pubmed/29143795
http://dx.doi.org/10.3390/s17112473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713031/
https://www.ncbi.nlm.nih.gov/pubmed/29143795
http://dx.doi.org/10.3390/s17112473

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