Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measurement of Visual Motion
Robot Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Ego-Motion Using Region Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Motion Model and Spatio-Temporal Filters forComputing Optical Flow
International Journal of Computer Vision
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching with Transparency and Matting
International Journal of Computer Vision - 1998 Marr Prize
Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision
Separation of Transparent Layers using Focus
International Journal of Computer Vision
Depth from Defocus vs. Stereo: How Different Really Are They?
International Journal of Computer Vision - Special issue on computer vision research at the Technion
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Intelligent and Robotic Systems
Multi-Frame Correspondence Estimation Using Subspace Constraints
International Journal of Computer Vision
Estimation of 2D displacement field based on affine geometric invariance and scene constraints
International Journal of Computer Vision
Occam Algorithms for Computing Visual Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Behind the Image Sequence: The Semantics of Moving Shapes
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Multi-valued Images and Their Separation
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Layered 4D Representation and Voting for Grouping from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Layered Approach to Stereo Reconstruction
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
International Journal of Computer Vision
Multiple motion analysis: in spatial or in spectral domain?
Computer Vision and Image Understanding
Probabilistic Space-Time Video Modeling via Piecewise GMM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Super-resolution reconstruction of image sequence using multiple motion estimation fusion
Journal of Computer Science and Technology
Recursive Estimation of 3D Motion and Surface Structure from Local Affine Flow Parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching with Linear Superposition of Layers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction
International Journal of Computer Vision
Probabilistic Fusion of Stereo with Color and Contrast for Bilayer Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual surveillance by dynamic visual attention method
Pattern Recognition
Image alignment and stitching: a tutorial
Foundations and Trends® in Computer Graphics and Vision
An adaptive motion segmentation for automated video surveillance
EURASIP Journal on Advances in Signal Processing
Generalized least squares-based parametric motion estimation
Computer Vision and Image Understanding
Fitting models to distributed representations of vision
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Smoke detection using boundary growing and moments
Proceedings of the 2009 International Conference on Hybrid Information Technology
Coronary Tree Extraction Using Motion Layer Separation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Towards a multi-camera generalization of brightness constancy
IWCM'04 Proceedings of the 1st international conference on Complex motion
Blind separation of position varying mixed images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Trainable blotch detection on high resolution archive films minimizing the human interaction
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
2D shape measurement of multiple moving objects by GMM background modeling and optical flow
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Image-based rendering for scenes with reflections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Bilayer segmentation augmented with future evidence
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Image-based rendering in the gradient domain
ACM Transactions on Graphics (TOG)
| Hi-index | 0.15 |
A fundamental assumption made in formulating optical-flow algorithms, that motion at any point in an image can be represented as a single pattern component undergoing a simple translation, fails for a number of situations that commonly occur in real-world images. An alternative formulation of the local motion assumption in which there may be two distinct patterns undergoing coherent (e.g. affine) motion within a given local analysis region is proposed. An algorithm for the analysis of two-component motion in which tracking and nulling mechanisms applied to three consecutive image frames separate and estimate the individual components is given. Precise results are obtained, even for components that differ only slightly in velocity as well as for a faint component in the presence of a dominant, masking component. The algorithm provides precise motion estimates for a set of elementary two-motion configurations and is robust in the presence of noise.