Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting Objects from Range and Radiance Images
IEEE Transactions on Visualization and Computer Graphics
Motion Segmentation by Tracking Edge Information over Multiple Frames
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Grouping in the Normalized Cut Framework
Shape, Contour and Grouping in Computer Vision
Layered 4D Representation and Voting for Grouping from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Probabilistic Space-Time Video Modeling via Piecewise GMM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locality preserving clustering for image database
Proceedings of the 12th annual ACM international conference on Multimedia
The MPM-MAP algorithm for motion segmentation
Computer Vision and Image Understanding
Joint Key-Frame Extraction and Object-Based Video Segmentation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
International Journal of Computer Vision
Reconstructing 3D trajectories of independently moving objects using generic constraints
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Sparsity: Optimization Framework for Sparse Matrix Kernels
International Journal of High Performance Computing Applications
Motion Layer Extraction in the Presence of Occlusion Using Graph Cuts
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
Video object segmentation by motion-based sequential feature clustering
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Clustering in video data: Dealing with heterogeneous semantics of features
Pattern Recognition
Signal Processing
Analysis of vector space model and spatiotemporal segmentation for video indexing and retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Correspondence-free Structure from Motion
International Journal of Computer Vision
A review of text and image retrieval approaches for broadcast news video
Information Retrieval
Incorporating non-motion cues into 3D motion segmentation
Computer Vision and Image Understanding
Euclidean path modeling for video surveillance
Image and Vision Computing
Object detection by global contour shape
Pattern Recognition
Particle Video: Long-Range Motion Estimation Using Point Trajectories
International Journal of Computer Vision
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Region and Graph-Based Motion Segmentation
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Dynamic Texture Detection Based on Motion Analysis
International Journal of Computer Vision
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Local detection of occlusion boundaries in video
Image and Vision Computing
Color learning and illumination invariance on mobile robots: A survey
Robotics and Autonomous Systems
Bayesian approaches to motion-based image and video segmentation
IWCM'04 Proceedings of the 1st international conference on Complex motion
Nonlinear approximation of spatiotemporal data using diffusion wavelets
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Near-optimal mosaic selection for rotating and zooming video cameras
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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
Region of interest generation in dynamic environments using local entropy fields
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Improving motion-based object detection by incorporating object-specific knowledge
International Journal of Intelligent Information and Database Systems
Multi-view object matching and tracking using canonical correlation analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Spatio-temporal segmentation of the heart in 4D MRI images using graph cuts with motion cues
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Object segmentation by long term analysis of point trajectories
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
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
Motion layer extraction in the presence of occlusion using graph cut
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Motion segmentation using the hadamard product and spectral clustering
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
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
Motion segmentation with accurate boundaries: a tensor voting approach
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Motion segmentation using an occlusion detector
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Highly consistent sequential segmentation
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Object flow: learning object displacement
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
What can we learn from biological vision studies for human motion segmentation?
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Space-time-scale registration of dynamic scene reconstructions
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Incorporating non-motion cues into 3d motion segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Motion field refinement and region-based motion segmentation
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Online moving camera background subtraction
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Activity representation with motion hierarchies
International Journal of Computer Vision
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We propose a motion segmentation algorithm that aims to break a scene into its most prominent moving groups. A weighted graph is constructed on the image sequence by connecting pixels that are in the spatiotemporal neighborhood of each other. At each pixel, we define motion profile vectors which capture the probability distrobution of the image velocity. The distance between motion profiles is used to assign a weight on the graph edges. Using normalized cuts we find the most salient partitions of the spaciotemporal graph formed by the image sequence. For segmenting long image sequences, we have developed a recursive update procedure that incorporates knowledge of segmentation in previous frames for efficiently finding the group correspondence in the new frame.