Abstract
Tracking has recently become one of the most interesting and active research fields. Tracking object consists in estimating the state of the object in function of time. This operation is based on largely developed filtering techniques. It is possible to classify tracking into Single Object Tracking and Multiple Object Tracking. This paper discusses the problem of multiple tracking. The aim is to encode a multiple object tracking algorithm to track aerial maneuvering aircraft by using the Interacting Multiple Model (IMM) combined with the assignment Global Nearest Neighbor (GNN) algorithm. The GNN represents the combinatorial optimization solution based on the comparison of different assignments.
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.
