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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Abstract

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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1711
Subjects:
ID Code:
134371
Deposited By:
Deposited On:
22 Jun 2019 01:03
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 10:57