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Detection clone an object movement using an optical flow approach

Authors :
Ahmed A. Ahmed
Omar Ismael Al-Sanjary
Hewa Majeed Zangana
Adam Amril Jaharadak
Musab A. M. Ali
Source :
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

This paper proposed a new detection method to detect a video copy-move forgery detection with a significant improvement in terms of its accuracy based on the optical flow inconsistencies that considers image motion for detection clone an object movement based on displacement paths. Finally, the displacement paths are compared between each other using Dynamic Time Warping (DTW) matching algorithm to detect the clone object. The experimental results show that the accuracy of this method is higher than the preceding relevant study and very encouraging.

Details

Database :
OpenAIRE
Journal :
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)
Accession number :
edsair.doi...........74ca18085df243768d141ba2af17a315
Full Text :
https://doi.org/10.1109/iscaie.2018.8405504