Abstract
In this paper, the authors propose solutions for finding the vanishing point in real time based on the Random Sample Consensus RANSAC curve fitting and density-based spatial clustering of applications with noise DBSCAN. First, it was proposed to extract the longest segments of lines from the edge frame. Second, a RANSAC curve fitting method was implemented for detecting the best curve fitting given the data set of points for each line segment. Third, the set of intersection points for each pair of curves are extracted. Finally, the DBSCAN method was used in estimating the VP. Preliminary results were gathered and tested on a group of consecutive frames undertaken at Nam-gu, Ulsan, in South Korea. These specific methods of measurement were chosen to prove their effectiveness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
