Abstract
Abstract An algorithm for tracking 2-D rigid non-point targets is presented. By introducing an interval turn model for center motion and considering a constraint of rigidity, the estimation of translation and rotation of the target can be obtained simultaneously when only measurements of target vertices with the presence of false alarms are available. A set of motion invariant coefficients are calculated along with the location estimates. Modeling vertices as a group of coupled members together with the coupled joint probabilistic data association (JPDA) algorithm improves tracking performance. This approach provides some insights to joint target tracking and identification (ID), and feature-aided tracking (FAT).
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.
