A recursive fuzzy systemfor efficient digital image stabilization
Advances in Fuzzy Systems - Regular issue
Real-time digital image stabilization system using modified proportional integrated controller
IEEE Transactions on Circuits and Systems for Video Technology
Video stabilization for a hand-held camera based on 3D motion model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Video stabilization based on saliency driven SIFT matching and discriminative RANSAC
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A robust global motion estimation for digital video stabilization
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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In this paper, a novel digital image stabilization algorithm based on circular block matching is proposed to estimate the global scaling, rotational and translational motion parameters between each two consecutive frames in jitter videos. In the algorithm, the rotation-invariant-features based circular block matching is proposed for the first time to estimate the local true motion vectors for the centers of all considered circular blocks. With these local motion vectors and their corresponding block positions, a linear system is constructed and solved by repeated least-squares to generate the global motion parameters (GMP) which are then refined by a gradient descent based iteration scheme. The experimental results demonstrate that the proposed DIS technique can generate more precise GMP and deal with larger motions compared with the ever presented optical flow based digital image stabilization technique.