Independent mobility is a challenge for people with visual impairment or blindness. Groundbreaking innovation comes from mobile devices (e.g., smartphones) that are convenient platforms to provide assistive technologies in the form of mobile applications. This paper presents ZebraRecognizer, a software module that recognizes zebra crossings and that advances state-of-the-art along two directions. First, it removes projection distortion from the acquired image, hence improving the accuracy of the recognition and making it possible to compute the quantified relative position of the crossing with respect to the user, which is crucial to effectively guide the user. Second, ZebraRecognizer is efficient, as it adopts a customized version of the EDLines algorithm that is also implemented to run in parallel on the GPU. Experimental results show that ZebraRecognizer is accurate, efficient and it computes the crossings position precisely.
ZebraRecognizer : Pedestrian crossing recognition for people with visual impairment or blindness / S. Mascetti, D. Ahmetovic, A. Gerino, C. Bernareggi. - In: PATTERN RECOGNITION. - ISSN 0031-3203. - 60(2016 Dec), pp. 405-419.
|Titolo:||ZebraRecognizer : Pedestrian crossing recognition for people with visual impairment or blindness|
MASCETTI, SERGIO (Primo)
AHMETOVIC, DRAGAN (Secondo)
GERINO, ANDREA (Penultimo)
BERNAREGGI, CRISTIAN (Ultimo)
|Parole Chiave:||blindness; mobile computing; pedestrian crossing; visual impairment; software; signal processing; 1707; artificial intelligence|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||dic-2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.patcog.2016.05.002|
|Appare nelle tipologie:||01 - Articolo su periodico|