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EnglishIn this paper, we present a portable camera-based method for helping visually impaired (VI) people to recognize multiple objects in images. This method relies on a novel multi-label convolutional support vector machine (CSVM) network for coarse description of images. The core idea of CSVM is to use a set of linear SVMs as filter banks for feature map generation. During the training phase, the weights of the SVM filters are obtained using a forward-supervised learning strategy unlike the backpropagation algorithm used in standard convolutional neural networks (CNNs). To handle multi-label detection, we introduce a multi-branch CSVM architecture, where each branch will be used for detecting one object in the image. This architecture exploits the correlation between the objects present in the image by means of an opportune fusion mechanism of the intermediate outputs provided by the convolution layers of each branch. The high-level reasoning of the network is done through binary classification SVMs for predicting the presence/absence of objects in the image. The experiments obtained on two indoor datasets and one outdoor dataset acquired from a portable camera mounted on a lightweight shield worn by the user, and connected via a USB wire to a laptop processing unit are reported and discussed.
Scene description for visually impaired people with multi-label convolutional svm networks / Bazi, Y.; Alhichri, H.; Alajlan, N.; Melgani, F.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 9:23(2019), pp. 506201-506213. [10.3390/app9235062]
| Titolo: | Scene description for visually impaired people with multi-label convolutional svm networks | |
| Autori: | Bazi, Y.; Alhichri, H.; Alajlan, N.; Melgani, F. | |
| Autori Unitn: | ||
| Titolo del periodico: | APPLIED SCIENCES | |
| Anno di pubblicazione: | 2019 | |
| Numero e parte del fascicolo: | 23 | |
| Codice identificativo Scopus: | 2-s2.0-85076882887 | |
| Codice identificativo WOS: | WOS:000509476600084 | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.3390/app9235062 | |
| Handle: | http://hdl.handle.net/11572/250839 | |
| Citazione: | Scene description for visually impaired people with multi-label convolutional svm networks / Bazi, Y.; Alhichri, H.; Alajlan, N.; Melgani, F.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 9:23(2019), pp. 506201-506213. [10.3390/app9235062] | |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Applied Sciences-2019-CSVM-Blind.pdf | Versione editoriale (Publisher’s layout) |  | Open Access Visualizza/Apri |
http://hdl.handle.net/11572/250839
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