Content-aware optical flow estimation

Jiang, Richard M. and Bouridane, Ahmed (2013) Content-aware optical flow estimation. In: 2013 4th European Workshop on Visual Information Processing, EUVIP 2013. 2013 4th European Workshop on Visual Information Processing, EUVIP 2013 . IEEE, FRA, pp. 196-201. ISBN 9788293269137

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While motion tracking is of use in many computer vision applications, optical flow estimation has become a challenging task that attracts vast interest in the past decade. In this paper, different from conventional pixel level energy formulation, we propose incorporating image structure analysis for content-aware optical flow estimation. In our content-aware method, image content analysis is carried out on the input frames, and spatiotemporal information is then extracted in the preprocessing procedure and incorporated in the proposed content-aware energy model to help enhance the accuracy of optical flow estimation. The experiment validated that the proposed content-aware method can attain a better accuracy in comparison with the content-blind model, and demonstrated better flow estimation results that were consistent with image structures.

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22 Jun 2019 01:03
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01 Jan 2022 06:48