[3L2] [General Session] 2. Machine Learning

[3L2-04] Examination of object tracking method for space-temporal data based on greedy EM algorithm

〇Ryo Hayashi¹, Rie Honda¹ (1. Kochi University)

Keywords:EM Algorithm, Object tracking, Multivariate normal distribution

Extracting objects such as clouds in weather images in the spatiotemporal data and tracing the changes of the shape, the position, the interaction between objects and events such as generation, extinction are important tasks in spatio-temporal data mining. The method of object extraction and tracking using mixture of multivariate normal distribution applying greedy EM algorithm is proposed. Experiments using artificial data showed effectiveness of the proposed method.