Abstract

In this paper, a moving object tracking method using multiple views of the same scene taken by three cameras are presented. The object of interest is the pedestrian in the street. Unlike the single view method, the proposed multi-view method can effectively exploit extra information available in the other views when the object of interest in one of the views falls into an occlusion or clutter environment. Making a relation of an object detected in one view with the ones in the other views is critical and it is obtained by data association. The simulation results show a significant performance improvement over the conventional one.

Full Text

Published Version

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 call

Disclaimer: 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.