Zebra-crossing detection based on cascaded Hough transform principle and vanishing point characteristics-Reference-Cited by-同舟云学术

Zebra-crossing detection based on cascaded Hough transform principle and vanishing point characteristics

Published:2023-01-01 Issue:1 Volume:13 Page:
ISSN:2299-1093
Container-title:Open Computer Science
language:en
Short-container-title:

Author:

Zhu Chen¹,Ge Dong-Yuan¹,Yao Xi-Fan²,Xiang Wen-Jiang³,Li Jian¹,Li Yong-Xiang⁴

Affiliation:

1. School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology , Liuzhou 545006 , China

2. School of Mechanical and Automotive Engineering, South China University of Technology , Guangzhou 510640 , China

3. School of Mechanical and Energy Engineering, Shaoyang University , Shaoyang 422004 , China

4. Special Equipment Institute, Hangzhou Vocational & Technical College , Hangzhou 310018 , China

Abstract

Abstract In this study, a zebra-crossing detection method based on cascaded Hough transform (CHT) and vanishing point (VP) characteristics is proposed. In this method, the principle of detecting straight lines in the parallel coordinate system is applied to zebra-crossing detection. Each edge point of the image obtained by edge detection is represented in the parallel coordinate system to find the VP. Using the VP coordinate as the judgment condition, those straight lines that do not pass through the VP but meet the straight-line condition are excluded to obtain the straight lines passing through both sides of the zebra crossing, and finally fit the edge points on the straight line, and get the zebra-crossing fitting line segment. Experiments show that CHT has obvious advantages in detection accuracy and speed compared with the Hough transform. At the same time, VPs can be used to eliminate interference segments, which provide support for the accuracy of zebra-crossing detection. This method can get zebra-crossing location information without using region of interest extraction, which also provides a reference method for road detection in some specific cases.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Link

https://www.degruyter.com/document/doi/10.1515/comp-2022-0260/pdf

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