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Detection clone an object movement using an optical flow approach
- 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.
- Subjects :
- Dynamic time warping
Cloning (programming)
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Optical flow
Object (computer science)
Object detection
Displacement (vector)
Clone (algebra)
Computer vision
Artificial intelligence
business
Blossom algorithm
Subjects
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