Fast electronic digital image stabilization for off-road navigation
Real-Time Imaging
Determining Optical Flow
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Video stabilization based on a 3D perspective camera model
The Visual Computer: International Journal of Computer Graphics
Fast digital image stabilizer based on Gray-coded bit-plane matching
IEEE Transactions on Consumer Electronics
Truncated graycoded bit-plane matching based motion estimation and its hardware architecture
IEEE Transactions on Consumer Electronics
Spatially and Temporally Optimized Video Stabilization
IEEE Transactions on Visualization and Computer Graphics
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In many digital video applications, video sequences suffer from jerky movements between successive frames. In this paper, an integrated general-purpose stabilization method is proposed, which extracts the information from successive frames and removes the translation and rotation motions that result in undesirable effects. The scheme proposed starts with computation of the optical flow between consecutive video frames and an affine motion model is adopted in conjunction with the optical flow field obtained to estimate objects or cameramotions using the Horn-Schunck algorithm. The estimatedmotion vectors are then used by a modelfitting filter to stabilize and smooth video sequences. Experimental results demonstrate that the proposed scheme is efficient due to its simplicity and provides good visual quality in terms of the global transformation fidelity measured by the peak-signal-noise-ratio.