Title: Camera pose estimation using Visual Servoing for aerial video change detection
Abstract: Aerial image change detection is highly dependent on the accuracy of camera pose and may be subject to false alarms caused by misregistrations. In this paper, we present a novel pose estimation approach based on Visual Servoing that combines aerial videos with 3D models. Firstly, we introduce a formulation that relates image registration with the poses of a moving camera observing a 3D plane. Then, we combine this formulation with Newton's algorithm in order to estimate camera poses in a given aerial video. Finally, we present and discuss experimental results which demonstrate the robustness and the accuracy of our method.