Improved optical flow motion estimation for digital image stabilization

Lijun Lai; Zhiyong Xu; Xuyao Zhang

doi:10.1117/12.2216083

5 November 2015 Improved optical flow motion estimation for digital image stabilization

Lijun Lai, Zhiyong Xu, Xuyao Zhang

Author Affiliations +

Proceedings Volume 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015; 97951Q (2015) https://doi.org/10.1117/12.2216083
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held June-July 2015, 2015, Hefei, Suzhou, and Harbin, China

Abstract

Optical flow is the instantaneous motion vector at each pixel in the image frame at a time instant. The gradient-based approach for optical flow computation can’t work well when the video motion is too large. To alleviate such problem, we incorporate this algorithm into a pyramid multi-resolution coarse-to-fine search strategy. Using pyramid strategy to obtain multi-resolution images; Using iterative relationship from the highest level to the lowest level to obtain inter-frames’ affine parameters; Subsequence frames compensate back to the first frame to obtain stabilized sequence. The experiment results demonstrate that the promoted method has good performance in global motion estimation.

Citation Download Citation

Lijun Lai, Zhiyong Xu, and Xuyao Zhang "Improved optical flow motion estimation for digital image stabilization", Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97951Q (5 November 2015); https://doi.org/10.1117/12.2216083

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