1:00 PM - 1:20 PM
[4P2-J-3-04] Modeling and tracking spatiotemporal objects by mixture distribution
Application to phased-array weather radar data
Keywords:multivariate normal distribution, mixture model, EM, spatiotemporal object, tracking
We propose a new method to detect and track spatiotemporal objects via mixture mode of multivariate normal distribution. Modified Greedy EM algorithm is used to obtain emerged and vanished components. As a post-processing, event-type such as fusion or separation are distinguished by comparing current parameters and previous parameters and each component is labelled to reflect the event. The method is applied to the analysis of phased array weather radar data analysis.