IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Estimation of Motion Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of discontinuous optical flow by domain decomposition and shape optimization
International Journal of Computer Vision
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
A level set approach for computing solutions to incompressible two-phase flow
Journal of Computational Physics
Recursive non-linear estimation of discontinuous flow fields
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Variational methods in image segmentation
Variational methods in image segmentation
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
A variational level set approach to multiphase motion
Journal of Computational Physics
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIAM Journal on Numerical Analysis
Direct incremental model-based image motion segmentation for video analysis
Signal Processing - Video segmentation for content-based processing manipulation
SIAM Journal on Scientific Computing
Image Sequence Analysis via Partial Differential Equations
Journal of Mathematical Imaging and Vision
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Level Set Model for Image Classification
International Journal of Computer Vision
A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion
International Journal of Computer Vision
Hierarchical Estimation and Segmentation of Dense Motion Fields
International Journal of Computer Vision
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
International Journal of Computer Vision
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
International Journal of Computer Vision
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Topologically adaptable snakes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Variational Space-Time Motion Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A multiphase level set framework for motion segmentation
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A variational framework for image segmentation combining motion estimation and shape regularization
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fast incorporation of optical flow into active polygons
IEEE Transactions on Image Processing
Motion-based object segmentation and estimation using the MDL principle
IEEE Transactions on Image Processing
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
Mumford and Shah Functional: VLSI Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization
Journal of Mathematical Imaging and Vision
Piecewise-Smooth Dense Optical Flow via Level Sets
International Journal of Computer Vision
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Joint optical flow estimation, segmentation, and 3D interpretation with level sets
Computer Vision and Image Understanding
International Journal of Computer Vision
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Spatial Statistics of Optical Flow
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Over-Parameterized Variational Optical Flow
International Journal of Computer Vision
A Variational Technique for Time Consistent Tracking of Curves and Motion
Journal of Mathematical Imaging and Vision
Anisotropic virtual electric field for active contours
Pattern Recognition Letters
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
International Journal of Computer Vision
Space-Time Multi-Resolution Banded Graph-Cut for Fast Segmentation
Proceedings of the 30th DAGM symposium on Pattern Recognition
Dynamic Texture Detection Based on Motion Analysis
International Journal of Computer Vision
A Geometric Framework and a New Criterion in Optical Flow Modeling
Journal of Mathematical Imaging and Vision
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Tracking Closed Curves with Non-linear Stochastic Filters
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A Statistical Overlap Prior for Variational Image Segmentation
International Journal of Computer Vision
Localised Mixture Models in Region-Based Tracking
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Geodesic active regions and level set methods for motion estimation and tracking
Computer Vision and Image Understanding
Crowd Flow Segmentation Using a Novel Region Growing Scheme
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Bayesian approaches to motion-based image and video segmentation
IWCM'04 Proceedings of the 1st international conference on Complex motion
Space-time segmentation based on a joint entropy with estimation of nonparametric distributions
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Detecting regions of dynamic texture
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Optimal dominant motion estimation using adaptive search of transformation space
Proceedings of the 29th DAGM conference on Pattern recognition
Characterizing spatio-temporal patterns for disease discrimination in cardiac echo videos
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Joint appearance and deformable shape for nonparametric segmentation
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Region of interest generation in dynamic environments using local entropy fields
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Multiphase joint segmentation-registration and object tracking for layered images
IEEE Transactions on Image Processing
Enhanced Local Subspace Affinity for feature-based motion segmentation
Pattern Recognition
Object segmentation by long term analysis of point trajectories
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Interactive motion segmentation
Proceedings of the 32nd DAGM conference on Pattern recognition
TriangleFlow: optical flow with triangulation-based higher-order likelihoods
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Adaptive smoothness based robust active contours
Image and Vision Computing
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Direct segmentation of multiple 2-D motion models of different types
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Segmenting dynamic textures with ising descriptors, ARX models and level sets
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Detachable object detection with efficient model selection
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
SIAM Journal on Imaging Sciences
Near real-time motion segmentation using graph cuts
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Realtime depth estimation and obstacle detection from monocular video
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
A variational approach to joint denoising, edge detection and motion estimation
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Variational motion segmentation with level sets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A bottom up algebraic approach to motion segmentation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A contrast invariant approach to motion estimation
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
A shape derivative based approach for crowd flow segmentation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Detecting spatiotemporal structure boundaries: beyond motion discontinuities
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Group-Valued regularization framework for motion segmentation of dynamic non-rigid shapes
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Tracking level set representation driven by a stochastic dynamics
Proceedings of the 7th international conference on Curves and Surfaces
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Group-Valued regularization for analysis of articulated motion
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
SuperFloxels: a mid-level representation for video sequences
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Hierarchical object discovery and dense modelling from motion cues in RGB-D video
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We present a novel variational approach for segmenting the image plane into a set of regions of parametric motion on the basis of two consecutive frames from an image sequence. Our model is based on a conditional probability for the spatio-temporal image gradient, given a particular velocity model, and on a geometric prior on the estimated motion field favoring motion boundaries of minimal length.Exploiting the Bayesian framework, we derive a cost functional which depends on parametric motion models for each of a set of regions and on the boundary separating these regions. The resulting functional can be interpreted as an extension of the Mumford-Shah functional from intensity segmentation to motion segmentation. In contrast to most alternative approaches, the problems of segmentation and motion estimation are jointly solved by continuous minimization of a single functional. Minimizing this functional with respect to its dynamic variables results in an eigenvalue problem for the motion parameters and in a gradient descent evolution for the motion discontinuity set.We propose two different representations of this motion boundary: an explicit spline-based implementation which can be applied to the motion-based tracking of a single moving object, and an implicit multiphase level set implementation which allows for the segmentation of an arbitrary number of multiply connected moving objects.Numerical results both for simulated ground truth experiments and for real-world sequences demonstrate the capacity of our approach to segment objects based exclusively on their relative motion.