Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Video stabilization for a hand-held camera based on 3D motion model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Digital image translational and rotational motion stabilization using optical flow technique
IEEE Transactions on Consumer Electronics
Digital image stabilization based on circular block matching
IEEE Transactions on Consumer Electronics
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Inspired by the stability functions of human vision system, we present a novel video stabilization method based on saliency driven SIFT matching and discriminative RANSAC. Firstly, a saliency detection method is adopted to estimate the spatial distribution of visual attention degrees in each frame of the video, and the SIFT features are extracted from the salient regions indicated by the saliency map. Then, we further achieve a modified version of RANSAC method using the discriminative features to estimate the trajectory of inter-frame motion and reduce the errors caused by the foreground vector. Finally, Kalman filter is applied to complete the motion smoothing task. Experimental results demonstrate that our approach is efficient and promising compared with state-of-the-art methods.