Abstract
This paper presents a low computational complexity solution to the problem of joint multi-target tracking and parameter estimation. The multi-target filtering approach is based on the linear-complexity factorial cumulant filter presented in this conference last year, and the parameter estimation approach is based on the single-cluster point process method for joint multi-object estimation and parameter estimation. The joint multitarget and measurement process is approximated at each step with a Panjer point process, which permits the low cost solution. It is shown in simulated studies the paper that the approach is more robust than using a Poisson point process prior since second-order information is retained and propagated.
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.
