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 …
A quantitative analysis of current practices in optical flow estimation and the principles behind them
The accuracy of optical flow estimation algorithms has been improving steadily as
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …
Secrets of optical flow estimation and their principles
The accuracy of optical flow estimation algorithms has been improving steadily as
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …
A database and evaluation methodology for optical flow
The quantitative evaluation of optical flow algorithms by Barron et al.(1994) led to significant
advances in performance. The challenges for optical flow algorithms today go beyond the …
advances in performance. The challenges for optical flow algorithms today go beyond the …
Will the pedestrian cross? a study on pedestrian path prediction
CG Keller, DM Gavrila - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
Future vehicle systems for active pedestrian safety will not only require a high recognition
performance but also an accurate analysis of the developing traffic situation. In this paper …
performance but also an accurate analysis of the developing traffic situation. In this paper …
An Improved Algorithm for TV-L 1 Optical Flow
A look at the Middlebury optical flow benchmark [5] reveals that nowadays variational
methods yield the most accurate optical flow fields between two image frames. In this work …
methods yield the most accurate optical flow fields between two image frames. In this work …
[PDF][PDF] Anisotropic Huber-L1 Optical Flow.
The presented work is motivated by the problem of restoring severely degraded historic
video material via an optical flow-based interpolation. In order to increase the robustness as …
video material via an optical flow-based interpolation. In order to increase the robustness as …
Structure-and motion-adaptive regularization for high accuracy optic flow
The accurate estimation of motion in image sequences is of central importance to numerous
computer vision applications. Most competitive algorithms compute flow fields by minimizing …
computer vision applications. Most competitive algorithms compute flow fields by minimizing …
A variational approach to video registration with subspace constraints
This paper addresses the problem of non-rigid video registration, or the computation of
optical flow from a reference frame to each of the subsequent images in a sequence, when …
optical flow from a reference frame to each of the subsequent images in a sequence, when …
Distance surface for event-based optical flow
We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras.
Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that …
Neuromorphic cameras (or event detection cameras) are an emerging sensor modality that …