SOTAVerified

Optical Flow Estimation

Optical Flow Estimation is a computer vision task that involves computing the motion of objects in an image or a video sequence. The goal of optical flow estimation is to determine the movement of pixels or features in the image, which can be used for various applications such as object tracking, motion analysis, and video compression.

Approaches for optical flow estimation include correlation-based, block-matching, feature tracking, energy-based, and more recently gradient-based.

Further readings:

Definition source: Devon: Deformable Volume Network for Learning Optical Flow

Image credit: Optical Flow Estimation

Papers

Showing 21012150 of 2184 papers

TitleStatusHype
A massively parallel multi-level approach to a domain decomposition method for the optical flow estimation with varying illumination0
Simulation of optical flow and fuzzy based obstacle avoidance system for mobile robots0
Recurrent Network Models for Human Dynamics0
Generalized Video Deblurring for Dynamic Scenes0
Cross Modal Distillation for Supervision TransferCode0
DeepMatching: Hierarchical Deformable Dense MatchingCode0
Crowd Flow Segmentation in Compressed Domain using CRF0
Optical Flow on Evolving Sphere-Like SurfacesCode0
Flowing ConvNets for Human Pose Estimation in VideosCode0
Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers0
Hierarchically-Constrained Optical Flow0
Phase-Based Frame Interpolation for VideoCode0
Learning to Detect Motion Boundaries0
Filtered Feature Channels for Pedestrian Detection0
Nested Motion Descriptors0
FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences0
Learning Similarity Metrics for Dynamic Scene Segmentation0
Dense, Accurate Optical Flow Estimation With Piecewise Parametric Model0
DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence0
The Aperture Problem for Refractive Motion0
Layered RGBD Scene Flow Estimation0
Convective regularization for optical flow0
On a spatial-temporal decomposition of the optical flow0
Dense Optical Flow Prediction from a Static Image0
A Robust Lane Detection and Departure Warning System0
Compact CNN for Indexing Egocentric Videos0
FlowNet: Learning Optical Flow with Convolutional NetworksCode1
A robust and efficient video representation for action recognition0
A spectral optical flow method for determining velocities from digital imagery0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Beyond Short Snippets: Deep Networks for Video ClassificationCode0
A Brief Survey of Recent Edge-Preserving Smoothing Algorithms on Digital Images0
Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models0
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients0
Learning the Matching Function0
Taking a Deeper Look at Pedestrians0
Filtered Channel Features for Pedestrian Detection0
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow0
A Deep-structured Conditional Random Field Model for Object Silhouette Tracking0
Dynamic 3D Avatar Creation from Hand-held Video Input0
First order algorithms in variational image processing0
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction0
Gaze Stabilization for Humanoid Robots: a Comprehensive Framework0
Action Recognition in the Frequency Domain0
Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes0
Multidimensional Digital Filters for Point-Target Detection in Cluttered Infrared Scenes0
Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow0
Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 20090
Two-Stream Convolutional Networks for Action Recognition in VideosCode0
Log-Euclidean Bag of Words for Human Action Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64Unverified
2FastFlowNet-ftAverage End-Point Error4.89Unverified
3UnrolledCostAverage End-Point Error4.69Unverified
4LiteFlowNet-ftAverage End-Point Error4.54Unverified
5FlowNet2Average End-Point Error3.96Unverified
6IRR-PWCAverage End-Point Error3.84Unverified
7SelFlowAverage End-Point Error3.74Unverified
8FDFlowNet-ftAverage End-Point Error3.71Unverified
9ScopeFlowAverage End-Point Error3.59Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36Unverified
2FastFlowNet-ftAverage End-Point Error6.08Unverified
3UnrolledCostAverage End-Point Error5.8Unverified
4MR-FlowAverage End-Point Error5.38Unverified
5LiteFlowNet-ftAverage End-Point Error5.38Unverified
6FDFlowNet-ftAverage End-Point Error5.11Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69Unverified
8IRR-PWCAverage End-Point Error4.58Unverified
9LiteFlowNet3-SAverage End-Point Error4.53Unverified
10ContinualFlow + ftAverage End-Point Error4.52Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7Unverified
2FastFlowNetF1-all33.1Unverified
3FlowNet2F1-all30Unverified
4VCNF1-all25.1Unverified
5HD3F1-all24Unverified
6MaskFlowNetF1-all23.1Unverified
7SCVF1-all19.3Unverified
8RAPIDFlowF1-all17.7Unverified
9CRAFTF1-all17.5Unverified
10RAFTF1-all17.4Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22Unverified
2UnrolledCostFl-all10.81Unverified
3LiteFlowNet-ftFl-all9.38Unverified
4SelFlowFl-all8.42Unverified
5IRR-PWCFl-all7.65Unverified
6LiteFlowNet2-ftFl-all7.62Unverified
7LiteFlowNet3Fl-all7.34Unverified
8LiteFlowNet3-SFl-all7.22Unverified
9MaskFlownet-SFl-all6.81Unverified
10RAPIDFlowFl-all6.12Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8Unverified
2LiteFlowNet-ftAverage End-Point Error1.6Unverified
3IRR-PWCAverage End-Point Error1.6Unverified
4SelFlowAverage End-Point Error1.5Unverified
5FDFlowNet-ftAverage End-Point Error1.5Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4Unverified
8LiteFlowNet3-SAverage End-Point Error1.3Unverified
9LiteFlowNet3Average End-Point Error1.3Unverified
10MaskFlownetAverage End-Point Error1.1Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27Unverified
2SPyNet1px total29.96Unverified
3GMFlow1px total10.36Unverified
4GMA1px total7.07Unverified
5RAFT1px total6.79Unverified
6FlowNet21px total6.71Unverified
7FlowFormer1px total6.51Unverified
8MS-RAFT+1px total5.72Unverified
9RPKNet1px total4.81Unverified
10DPFlow1px total3.44Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21Unverified
2MDFlow-FastAverage End-Point Error4.73Unverified
3UpFlowAverage End-Point Error4.68Unverified
4ARFlow-MVAverage End-Point Error4.49Unverified
5MDFlowAverage End-Point Error4.16Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5Unverified
2MDFlow-FastAverage End-Point Error5.99Unverified
3ARFlow-MVAverage End-Point Error5.67Unverified
4MDFlowAverage End-Point Error5.46Unverified
5UpFlowAverage End-Point Error5.32Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79Unverified
2MDFlow-FastFl-all11.43Unverified
3UpFlowFl-all9.38Unverified
4MDFlowFl-all8.91Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5Unverified
2UpFlowAverage End-Point Error1.4Unverified