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.
Automatic Mosaic Unmanned Aerial Vehicle Video Images Kalman Filter
LI Yan-shan PEI Ji-hong XIE Wei-xin LI Liang-qun
ATR Key Laboratory of National Defense Technology, Shenzhen University, Shenzhen, Guangdong, China
国际会议
北京
英文
182-186
2011-11-27（万方平台首次上网日期，不代表论文的发表时间）