Building mosaics from video using MPEG motion vectors
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Drift-Free Real-Time Sequential Mosaicing
International Journal of Computer Vision
Robust video stabilization based on particle filter tracking of projected camera motion
IEEE Transactions on Circuits and Systems for Video Technology
Real-time spherical mosaicing using whole image alignment
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Efficient Video Rectification and Stabilisation for Cell-Phones
International Journal of Computer Vision
Video stabilization using maximally stable extremal region features
Multimedia Tools and Applications
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We present a fast electronic image stabilization system that compensates for 3D rotation. The extended Kalman filter framework is employed to estimate the rotation between frames, which is represented using unit quaternions. A small set of automatically selected and tracked feature points are used as measurements. The effectiveness of this technique is also demonstrated by constructing mosaic images from the motion estimates, and comparing them to mosaics built from 2D stabilization algorithms. Two different stabilization schemes are presented. The first, implemented in a real-time platform based on a Datacube MV200 board, estimates the motion between two consecutive frames and is able to process gray level images of resolution 128x120 at 10 Hz. The second scheme estimates the motion between the current frame and an inverse mosaic; this allows better estimation without the need for indexing the new image frames. Experimental results for both schemes using real and synthetic image sequences are presented.