Research on electronic image stabilizing algorithm of catadioptric panoramic reconnaissance system

An effective algorithm of electronic image stabilization (EIS) of catadioptric panoramic reconnaissance system on vehicle is presented. The key techniques of this developed algorithm involve in the following three aspects. First, a scheme of image stabilization is put forward and a model of image stabilization is built on the basis of analyzing the imaging principle, its application conditions and the flow of the existing EIS algorithms. Second, considering the mobile object is included in the image, the comparability threshold should be determined when the mobile parameters are being estimated using the model of image stabilization. Third, the excessive stabilizing threshold is necessary to prevent the occurrence of excessive stabilization, and the Kalman filtering is adopted to smooth the image sequences. Numerical experimental results show that this algorithm can effectively smooth out the unwanted motion and follow the intentional camera movement with certain resolution.