An Automatic Mosaic Method For Unmanned Aerial Vehicle Video Images Based On Kalman Filter

This paper proposes a fast and stable automatic mosaic method of the unmanned aerial vehicle (UAV) images based on the Kalman filter. Firstly, the features of the unmanned aerial vehicle Images are analyzed. Then, a Kalman filter was proposed for predicting the search area of feature points after analyzing the movement model of the overlap areas in the images. The Kalman filter helps to find the useful feature points in the specific areas within a short time. Following the analysis result, the detail steps of the method are finally presented. The experimental results show that the proposed method not only ensure the successful execution of automatic mosaic for the UAV video images, but also can reduce the time-cost.