@inproceedings{ae31c9b43cfa4070922557ebe46b3b99,
title = "An Obstacle Categorization System for Visually Impaired People",
abstract = "In this paper, we introduce a new framework for obstacle localization and classification. The proposed method is designed to improve cognition of visually impaired people (VI) facilitating the autonomous navigation in outdoor environments. In the context of computer vision applications, the following contributions are proposed and validated: (i) a new method of selecting a reduced and relevant set of interest points, (ii) a novel descriptor denoted Adaptive Histogram of Oriented Gradients (A-HOG) dedicated to arbitrary categories of objects, (iii) an image re-ranking method at Vector of Locally Aggregated Descriptor (VLAD) /Bag of Visual Word (BoVW) descriptor level based on graph spanning structures and neighborhood relations. Finally, we demonstrate the performance of the proposed framework (in terms of classification accuracy and computational time) on a challenging video dataset captured with the help of real VI users. The entire framework is completely integrated on an Android smartphone device, while all methods were specifically designed and tuned under the constraint of achieving real-time processing capabilities.",
keywords = "A-HOG descriptor, BoVW, VLAD, image re-ranking, relevant interest points",
author = "Bogdan Mocanu and Ruxandra Tapu and Titus Zaharia",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 ; Conference date: 23-11-2015 Through 27-11-2015",
year = "2016",
month = feb,
day = "5",
doi = "10.1109/SITIS.2015.58",
language = "English",
series = "Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "147--154",
editor = "Kokou Yetongnon and Albert Dipanda and Richard Chbeir",
booktitle = "Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015",
}