Abstract
Here, we address the problem of tracking of polyhedral objects in images from traffic scene. The matching of the model is achieved by minimizing the distance between the projected segments of the 3D model and the segments extracted in the 2D image. The success depends on the global optimization of the cost function that quantifies the quality of alignment. The existence of numerous local minima makes it impossible to locate the global solution. In this study, we propose an effective global optimization strategy to overcome this problem. Results on simulated and real images are presented.
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.
