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Artificial Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision
Markov random field modeling in computer vision
Markov random field modeling in computer vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
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CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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Spatio-temporal segmentation based on motion and static segmentation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
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IEEE Transactions on Image Processing
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
A Real-Time Region-Based Motion Segmentation Using Adaptive Thresholding and K-Means Clustering
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
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Pattern Recognition Letters
Motion Layer Extraction in the Presence of Occlusion Using Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Clustering in video data: Dealing with heterogeneous semantics of features
Pattern Recognition
Image-Based Modeling by Joint Segmentation
International Journal of Computer Vision
Region-level motion-based foreground segmentation under a Bayesian network
IEEE Transactions on Circuits and Systems for Video Technology
Trajectory tree as an object-oriented hierarchical representation for video
IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Circuits and Systems for Video Technology
Novel classification and segmentation techniques with application to remotely sensed images
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A Bayesian network for foreground segmentation in region level
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentation
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
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
Fast superpixels for video analysis
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
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Adaptive foreground and shadow detection in image sequences
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Layered moving-object segmentation for stereoscopic video using motion and depth information
Journal of Visual Communication and Image Representation
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This paper addresses the problem of spatio-temporal segmentation of video sequences. An initial intensity segmentation method (watershed segmentation) provides a number of initial segments which are subsequently labeled, with a known number of labels, according to motion information. The label field is modeled as a Markov Random Field where the statistical spatial and temporal interactions are expressed on the basis of the initial watershed segments. The labeling criterion is the maximization of the conditional a posteriori probability of the label field given the motion hypotheses, the estimate of the label field of the previous frame, and the image intensities. For the optimization, an iterative motion estimation-labeling algorithm is proposed and experimental results are presented.