Zebra Crosswalk Detection Assisted by Neural Networks

<p>It can be difficult to guide yourself across a crosswalk when your visual capabilities are limited, which can be an everyday issue for someone with impaired vision. This paper aims to alleviate that issue for zebra stripe crosswalks by proposing an algorithm that incorporates multiple properties of zebra stripe crosswalks with a neural network to assist in quickly and accurately identifying a crosswalk in video and pictures taken from a smartphone camera.</p> <p>This method improves the accuracy of zebra crosswalk detection in images. In a large dataset, it correctly identified 76.5% of zebra crosswalks, while reducing the false discovery rate (q-value) from 20% without using neural networks to 2.21% using this neural network method. Only 2.04% of non-crosswalk images as crosswalks using the neural network method.</p>

Name thesis:degree_name

MS in Computer Science

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2016

Author dc:creator

• Banich, Jason David

Contributors dc:contributor

• John Seng

• Computer Science
• Vision
• Zebra Crosswalk
• Neural Networks
• Visually Impaired

Identifier

10.15368/theses.2016.44

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-2726