Abstract
In this correspondence, we examine the problem of estimating the centroid of a normally shaped intensity function of a time-space point process in terms of an observed realization of the point process. The centroid is assumed to move randomly as a projection of a Gauss-Markov process. We find that the centroid is conditionally normal given the observations. Dynamical equations are given for the conditional mean and covariance of the centroid. The resulting filter is nonlinear, but closely related to the continuous-discrete Kalman-Bucy filter. An application to optical position sensing is given.
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.
