• 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