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Estimating the heading direction using normal flow
International Journal of Computer Vision
Egomotion analysis based on the Frenet-Serret motion model
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Image sequence stabilization in real time
Real-Time Imaging
The Applicability of Green‘s Theorem to Computation of Rate of Approach
International Journal of Computer Vision
Fast structure from motion recovery applied to 3D image stabilization
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Fixation as a Mechanism for Stabilization of Short Image Sequences
International Journal of Computer Vision
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Optic flow from unstable sequences through local velocity constancy maximization
Image and Vision Computing
Journal of Real-Time Image Processing
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The image sequence in a video taken by a moving camera may suffer from irregular perturbations because of irregularities in the motion of the person or vehicle carrying the camera. We show how to use information in the image sequence to correct the effects of these irregularities so that the sequence is smoothed, i.e., is approximately the same as the sequence that would have been obtained if the motion of the camera had been smooth. Our method is based on the fact that the irregular motion is almost entirely rotational, and that the rotational image motion can be detected and corrected if a distant object, such as the horizon, is visible.