Variational approach to optical flow estimation managing discontinuities
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Cited by (62)
Optical flow estimation for motion-compensated compression
2013, Image and Vision ComputingCitation Excerpt :To solve the under-constrained problem, several constraints on the displacement field, such as smoothness and other assumptions, have been proposed. Typical smoothness assumptions include Horn and Schunck's regularization constraint [3], a uniform velocity assumption in a block (or template) (Lucas and Kanade [4,5]; Shi and Tomasi [16]), an intensity-gradient conservation constraint (Nagel et al. [12–14]; Nesi [15]), modeling the motion field as a Markovian random field (Konrad and Dubois [20]), and velocity field modeling with bilinear or B-splines functions (Chen et al. [28,29]). Traditionally, scientists have focused their efforts on extending the many other different methods of estimating the optical flow [1–35].
Joint edge detection and motion estimation of cardiac MR image sequence by a phase field method
2010, Computers in Biology and MedicineHigh-speed target tracking by fuzzy hostility-induced segmentation of optical flow field
2009, Applied Soft Computing JournalCitation Excerpt :In these iterative methods, the velocity is evaluated at every point in the image. Regularization-based approaches using the OFC can be found in [9,31,32]. The uniqueness of these methods is that they yield the optical flow fields both inside and on the contours of the moving objects.
Knowledge modeling and management for mobility and transport applications
2018, Proceedings - 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018Real-Time traffic estimation of unmonitored roads
2018, Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018