Image Stabilization for ITS Applications

[[abstract]]In this paper, we propose an image stabilization technique for stabilizing image sequences taken from traffic monitoring cameras. The proposed technique includes three steps: motion estimation, global motion analysis, and image compensation. In the motion estimation, a module combining block matching and k-order projection matching is evoked to estimate motions between two successive images. The process will estimate motions accurately even though there exists rotations between images. In the global motion analysis, an affine motion model is utilized to determine the parameters of translation and rotation between images. The determined affine transformation is then exploited to compensate for the unstabilities of input image sequences. The experimental results of using both simulated and real images have revealed the applicability of the proposed technique.