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
Empirical Bayesian Motion Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Segmentation by MAP Labeling of Watershed Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing a Multivalued Representation for View Synthesis
International Journal of Computer Vision
Probabilistic Detection and Tracking of Motion Boundaries
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Layered Motion Representation with Occlusion and Compact Spatial Support
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Motion Segmentation by Tracking Edge Information over Multiple Frames
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Layer Extraction with a Bayesian Model of Shapes
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Bayesian inference of visual motion boundaries
Exploring artificial intelligence in the new millennium
A Layered Approach to Stereo Reconstruction
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Scene Segmentation from 3D Motion
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Multiple motion analysis: in spatial or in spectral domain?
Computer Vision and Image Understanding
Hidden Markov Measure Field Models for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spectral Grouping Using the Nyström Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting View-Dependent Depth Maps from a Collection of Images
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
The MPM-MAP algorithm for motion segmentation
Computer Vision and Image Understanding
Learning Outdoor Color Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation
Journal of Mathematical Imaging and Vision
Disambiguating Visual Motion by Form-Motion Interaction--a Computational Model
International Journal of Computer Vision
Correspondence as energy-based segmentation
Image and Vision Computing
Hierarchical mixture models: a probabilistic analysis
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Incorporating non-motion cues into 3D motion segmentation
Computer Vision and Image Understanding
Learning Layered Motion Segmentations of Video
International Journal of Computer Vision
Motion segmentation using GPCA techniques and optical flow
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Region and Graph-Based Motion Segmentation
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
EURASIP Journal on Advances in Signal Processing
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
Animated Classic Mosaics from Video
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Multiview segmentation and tracking of dynamic occluding layers
Image and Vision Computing
A variational approach for multi-valued velocity field estimation in transparent sequences
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Bayesian order-adaptive clustering for video segmentation
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Region of interest generation in dynamic environments using local entropy fields
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Layered motion segmentation with a competitive recurrent network
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Spatially coherent clustering using graph cuts
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Robust subspace clustering by combined use of kNND metric and SVD algorithm
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Learning spatio-temporal dependency of local patches for complex motion segmentation
Computer Vision and Image Understanding
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Variational Multi-Valued Velocity Field Estimation for Transparent Sequences
Journal of Mathematical Imaging and Vision
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
Motion segmentation using an occlusion detector
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A bottom up algebraic approach to motion segmentation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A multi-layer MRF model for video object segmentation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Incorporating non-motion cues into 3d motion segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A bayesian approach to situated vision
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Entropy controlled gauss-markov random measure field models for early vision
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
A method of motion segmentation based on region shrinking
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A generative model of dense optical flow in layers
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
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Describing a video sequence in terms of a small number of coherently moving segments is useful for tasks ranging from video compression to event perception. promising approach is to view the motion segmentation problem in a mixture estimation framework. However, existing formulations generally use only the motion data and thus fail to make use of static cues when segmenting the sequence. Furthermore, the number of models is either specified in advance or estimated outside the mixture model framework. In this work we address both of these issues. We show how to add spatial constraints to the mixture formulations and present a variant of the EM algorithm that makes use of both the form and the motion constraints. Moreover this algorithm estimates the number of segments given knowledge about the level of model failure expected in the sequence. The algorithm's performance is illustrated on synthetic and real image sequences.