ZebraRecognizer: Pedestrian crossing recognition for people with visual impairment or blindness

被引:32
|
作者
Mascetti, Sergio [1 ,2 ]
Ahmetovic, Dragan [1 ]
Gerino, Andrea [1 ,2 ]
Bernareggi, Cristian [1 ,2 ]
机构
[1] Univ Milan, Dept Comp Sci, Via Comelico 39, I-20135 Milan, Italy
[2] EveryWare Technol, Via Comelico 39, I-20135 Milan, Italy
关键词
Visual impairment; Blindness; Pedestrian crossing; Mobile computing;
D O I
10.1016/j.patcog.2016.05.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:405 / 419
页数:15
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