Bayesian methods for visual tracking model the likelihood of image measurements conditioned on a tracking hypothesis. Image measurements may, for example, correspond to various fi...
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
By using intersection types and filter models we formulate a theory of types for a -calculus with record subtyping via a finitary programming logic. Types are interpreted as space...
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
— In this paper, we present a delayed algorithm for landmark initialization based on a Scaled Unscented Filter. The algorithm efficiently gives well-conditioned feature location...