@inproceedings{49caa58b3917486f8baf30c708fa5ae1,
title = "An outdoor cognition system integrated on a regular smartphone device",
abstract = "In this paper we introduce an assistive device dedicated to visual impaired / blind people completely integrated on a regular smartphone. The framework is designed to detect and localize static and dynamic obstacle during user navigation. We start by selecting a reduced and relevant set of FAST interest points based on a regular grid and Harris-Laplacian operator. Then, we construct a global image representation using VLAD (Vector of Locally Aggregated Descriptor) that is further whitened using PCA (Principal Component Analysis). At the end the image patch is fed to a SVM (Support Vector Machine) system that uses a statistical procedure to distinguish between different types of obstacles.",
keywords = "VLAD descriptor, obstacle classification, visually impaired assistive device",
author = "Bogdan Mocanu and Ruxandra Tapu and Titus Zaharia",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE International Conference on E-Health and Bioengineering, EHB 2015 ; Conference date: 19-11-2015 Through 21-11-2015",
year = "2016",
month = jan,
day = "25",
doi = "10.1109/EHB.2015.7391375",
language = "English",
series = "2015 E-Health and Bioengineering Conference, EHB 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 E-Health and Bioengineering Conference, EHB 2015",
}