Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Content-aware optical flow estimation
AU - Jiang, Richard M.
AU - Bouridane, Ahmed
PY - 2013/12/23
Y1 - 2013/12/23
N2 - 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.
AB - 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.
KW - image content analysis
KW - motion tracking
KW - Optical flow
M3 - Conference contribution/Paper
AN - SCOPUS:84890454717
SN - 9788293269137
T3 - 2013 4th European Workshop on Visual Information Processing, EUVIP 2013
SP - 196
EP - 201
BT - 2013 4th European Workshop on Visual Information Processing, EUVIP 2013
PB - IEEE
T2 - 2013 4th European Workshop on Visual Information Processing, EUVIP 2013
Y2 - 10 June 2013 through 12 June 2013
ER -