Human trajectory prediction via neural social physics
Trajectory prediction has been widely pursued in many fields, and many model-based and
model-free methods have been explored. The former include rule-based, geometric or …
model-free methods have been explored. The former include rule-based, geometric or …
Optical flow modeling and computation: A survey
D Fortun, P Bouthemy, C Kervrann - Computer Vision and Image …, 2015 - Elsevier
Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …
computer vision. In 35 years, many methodological concepts have been introduced and …
High accuracy optical flow estimation based on a theory for warping
We study an energy functional for computing optical flow that combines three assumptions: a
brightness constancy assumption, a gradient constancy assumption, and a discontinuity …
brightness constancy assumption, a gradient constancy assumption, and a discontinuity …
Lucas/Kanade meets Horn/Schunck: Combining local and global optic flow methods
Differential methods belong to the most widely used techniques for optic flow computation in
image sequences. They can be classified into local methods such as the Lucas–Kanade …
image sequences. They can be classified into local methods such as the Lucas–Kanade …
Motion detail preserving optical flow estimation
A common problem of optical flow estimation in the multiscale variational framework is that
fine motion structures cannot always be correctly estimated, especially for regions with …
fine motion structures cannot always be correctly estimated, especially for regions with …
Highly accurate optic flow computation with theoretically justified warping
In this paper, we suggest a variational model for optic flow computation based on non-
linearised and higher order constancy assumptions. Besides the common grey value …
linearised and higher order constancy assumptions. Besides the common grey value …
Optic flow in harmony
Most variational optic flow approaches just consist of three constituents: a data term, a
smoothness term and a smoothness weight. In this paper, we present an approach that …
smoothness term and a smoothness weight. In this paper, we present an approach that …
Reliable estimation of dense optical flow fields with large displacements
In this paper we show that a classic optical flow technique by Nagel and Enkelmann (1986,
IEEE Trans. Pattern Anal. Mach. Intell., Vol. 8, pp. 565–593) can be regarded as an early …
IEEE Trans. Pattern Anal. Mach. Intell., Vol. 8, pp. 565–593) can be regarded as an early …
A theoretical framework for convex regularizers in PDE-based computation of image motion
J Weickert, C Schnörr - International Journal of Computer Vision, 2001 - Springer
Many differential methods for the recovery of the optic flow field from an image sequence
can be expressed in terms of a variational problem where the optic flow minimizes some …
can be expressed in terms of a variational problem where the optic flow minimizes some …
Variational optic flow computation with a spatio-temporal smoothness constraint
J Weickert, C Schnörr - Journal of mathematical imaging and vision, 2001 - Springer
Nonquadratic variational regularization is a well-known and powerful approach for the
discontinuity-preserving computation of optic flow. In the present paper, we consider an …
discontinuity-preserving computation of optic flow. In the present paper, we consider an …