DocumentCode
1939162
Title
A Robust Method for Vanishing Point Estimation in Road Image
Author
Xun Hui Qin ; Rong Ma ; Sui Lao Li
Author_Institution
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2011
fDate
5-7 Aug. 2011
Firstpage
105
Lastpage
108
Abstract
This paper presents a method for vanishing point(VP) estimation in the complex road environment images. Through prior information, VP predicated region in the image are computed, which can remove a large number of noise Line segments. Then using Hough Transform the sample Line segments in image plane are projected into the points in parameter space where VP is estimated by a weighted least median square method based on length of Line segments. During the experiment, many complex road environment images were used to test our method. The experimental results show that our method can correctly estimate vanishing point, and is more accuracy and robust than traditional method.
Keywords
Hough transforms; image segmentation; least mean squares methods; object detection; roads; Hough transform; complex road environment image; noise line segment; vanishing point estimation; weighted least median square method; Equations; Estimation; Image edge detection; Image segmentation; Least squares approximation; Noise; Roads; Hough Transform; Line segment detection; Weighted LMS; vanishing point;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-1-4577-0755-1
Electronic_ISBN
978-0-7695-4455-7
Type
conf
DOI
10.1109/ICDMA.2011.33
Filename
6051862
Link To Document