This paper presents algorithms for vision-based monitoring of weaving sections. These algorithms have been developed for the Minnesota Department of Transportation in order to acquire data for several weaving sections in the Twin Cities area. Unlike commercially available systems, the proposed algorithms can track and count vehicles as they change lanes. Furthermore, they provide the velocity and the direction of each vehicle in the weaving section. Experimental results from various weaving sections under various weather conditions are presented. The proposed methods are based on the establishment of correspondences among blobs and vehicles as the vehicles move through the weaving section. The blob tracking problem is formulated as a bipartite graph optimization problem.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The use of computer vision in monitoring weaving sections


    Contributors:


    Publication date :

    2001-03-01


    Size :

    154217 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Vision-Based Monitoring of Weaving Sections

    Masoud, O. / Papanikolopoulos, N. P. / Kwon, E. et al. | British Library Conference Proceedings | 1999


    The Use of Computer Vision in Monitoring Weaving Sections

    Masoud, O. / Papanikolopoulos, N. P. / Kwon, E. | British Library Online Contents | 2001



    Monitoring Weaving Sections

    O. Masoud / S. Rogers / N. P. Papanikolopoulos | NTIS | 2001


    Roundabouts and weaving sections

    Brain, R. | Engineering Index Backfile | 1963