Computation of component image velocity from local phase information
International Journal of Computer Vision
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Neural Computation
Performance of optical flow techniques
International Journal of Computer Vision
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
A harmonic retrieval framework for discontinuous motion estimation
IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
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MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Multiresolution parametric estimation of transparent motions and denoising of fluoroscopic images
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Motion-based segmentation of transparent layers in video sequences
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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Motion transparency phenomena in image sequences are frequent, but classical methods of motion estimation are unable to deal with them. There is a need for more general techniques in order to solve this important problem. The method described here is based on an image sequence analysis in the frequency domain. It is mainly composed of a Stochastic-Expectation-Maximisation algorithm which provides a new statistical model for this problem. This method, despite its large execution time, offers some interesting results on artificial and natural image sequences.