NDLI: Efficient vanishing point detection method in complex urban road environments

Content Provider	IET Digital Library
Author	Ding, Weili Li, Yong
Abstract	Detecting the vanishing point in a road image is important for robot navigation, intelligent transportation and other fields. This study proposes a new vanishing point detection method that uses the vertical information in complex urban road and street environments. First, all straight lines in the road image are detected based on curvature scale space and principal component analysis methods. Second, a new road region extraction method is proposed to support vanishing point detection. In this method, the image is decomposed into approximate sky, vertical and road regions using the estimation envelopes of the vertical lines. Third, the straight lines in the road region are extracted using a path perspective triangle and line length limits. The straight lines are then categorised into groups using proposed grouping strategies. Finally, vanishing point candidates are calculated from paired lines extracted from different groups and from the same group, and the final vanishing point is then estimated for the urban road scene using the mean shift clustering method. The experimental results show that the proposed algorithm can estimate the vanishing point accurately and efficiently in complex urban road environments, despite interference from vehicles and pedestrians and on curved and unstructured roads.
Starting Page	549
Ending Page	558
Page Count	10
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 4, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0187
Journal	IET Computer Vision
Publisher Date	2015-04-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Complex Urban Road Environments Computer Vision And Image Processing Technique Curvature Scale Space Data Handling Technique Feature Extraction Grouping Strategy Image Decomposition Line Length Limits Mean Shift Clustering Method Object Detection Optical, Image And Video Signal Processing Path Perspective Triangle Pattern Clustering Principal Component Analysis Principal Component Analysis Method Road Image Road Region Extraction Method Statistics Straight Line Detection Street Environments Traffic Engineering Computing Urban Road Scene Vanishing Point Detection Method Vanishing Point Estimation Vertical Information Vertical Line Estimation Envelopes
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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