Robust regression and outlier detection
Robust regression and outlier detection
Image segmentation based on object oriented mapping parameter estimation
Signal Processing
Interpretation of visual motion: a computational study
Interpretation of visual motion: a computational study
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Direct incremental model-based image motion segmentation for video analysis
Signal Processing - Video segmentation for content-based processing manipulation
International Journal of Computer Vision
Robot Vision
Data Segmentation and Model Selection for Computer Vision
Data Segmentation and Model Selection for Computer Vision
Rigid Body Segmentation and Shape Description from Dense Optical Flow Under Weak Perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Tracking via Level Set PDEs without Motion Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Evaluation and Selection of Models for Motion Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
An Assessment of Information Criteria for Motion Model Selection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Spatio-Temporal Motion Segmentation via Level Set Partial Differential Equation
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
Model Selection and Surface Merging in Reconstruction Algorithms
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Motion Analysis: Model Selection and Motion Segmentation
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Variational Space-Time Motion Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Uncertainty Modeling and Model Selection for Geometric Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
CPM: A Deformable Model for Shape Recovery and Segmentation Based on Charged Particles
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous motion estimation and segmentation
IEEE Transactions on Image Processing
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This paper presents a new framework for the motion segmentation task, which includes an algorithm capable of addressing the important issue of the inter-relationships between data segmentation, model selection, and noise scale estimation. In this algorithm, we have incorporated our newly proposed model selection criterion named Surface Selection Criterion. The presented algorithm simultaneously selects the correct motion model, while finding the scale of the noise and performing the segmentation task. As a result, the estimated motion parameters and the final segmentation results are accurate. The algorithm is tested for motion segmentation of synthetic and real video data containing multiple objects undergoing different types of motion. Our results also show that the proposed algorithm is capable of detecting occlusion and degeneracy.