Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Estimation of parameters and eigenmodes of multivariate autoregressive models
ACM Transactions on Mathematical Software (TOMS)
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Shape Priors for Level Set Representations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Behavior classification by eigendecomposition of periodic motions
Pattern Recognition
Efficient kernel density estimation of shape and intensity priors for level set segmentation
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Dynamical statistical shape priors for level set based sequence segmentation
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
International Journal of Computer Vision
A Variational Technique for Time Consistent Tracking of Curves and Motion
Journal of Mathematical Imaging and Vision
3D shape-encoded particle filter for object tracking and its application to human body tracking
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Nonlinear Dynamical Shape Priors for Level Set Segmentation
Journal of Scientific Computing
International Journal of Computer Vision
Active Contours without Edges and with Simple Shape Priors
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Combined Registration Methods for Pose Estimation
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Cooperative Object Segmentation and Behavior Inference in Image Sequences
International Journal of Computer Vision
Variance reduction techniques in particle-based visual contour tracking
Pattern Recognition
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
Multiphase Segmentation Based on Implicit Active Shape Models
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Global Optimal Multiple Object Detection Using the Fusion of Shape and Color Information
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Dynamic Cone Beam Reconstruction Using a New Level Set Formulation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Level Set Gait Analysis for Synthesis and Reconstruction
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Active Contour Method with Separate Global Translation and Local Deformation
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Population-specific evaluation of implant bone fitting using PCA shape space and level sets
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Markov random field modeled level sets method for object tracking with moving cameras
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Visual tracking by hypothesis testing
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A probabilistic shape filter for online contour tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Contour tracking with abrupt motion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Noise estimation and adaptive filtering during visual tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Deform PF-MT: particle filter with mode tracker for tracking nonaffine contour deformations
IEEE Transactions on Image Processing
Video segmentation based on motion coherence of particles in a video sequence
IEEE Transactions on Image Processing
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance
Journal of Visual Communication and Image Representation
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
On the Length and Area Regularization for Multiphase Level Set Segmentation
International Journal of Computer Vision
A shape-based voting algorithm for pedestrian detection and tracking
Pattern Recognition
Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering
Image and Vision Computing
A Probabilistic Contour Observer for Online Visual Tracking
SIAM Journal on Imaging Sciences
A probabilistic integrated object recognition and tracking framework
Expert Systems with Applications: An International Journal
An improved real-time contour tracking algorithm using fast level set method
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Image segmentation under occlusion using selective shape priors
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
A new prior shape model for level set segmentation
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Shape based appearance model for kernel tracking
Image and Vision Computing
Spaces and manifolds of shapes in computer vision: An overview
Image and Vision Computing
Reduced set density estimator for object segmentation based on shape probabilistic representation
Journal of Visual Communication and Image Representation
A survey of graph theoretical approaches to image segmentation
Pattern Recognition
Hausdorff distance constraint for multi-surface segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Level-set based infrared image segmentation for automatic veterinary health monitoring
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Region-based image segmentation with local signed difference energy
Pattern Recognition Letters
Segmentation-based tracking by support fusion
Computer Vision and Image Understanding
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Hough-based tracking of non-rigid objects
Computer Vision and Image Understanding
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
Computer Vision and Image Understanding
TouchCut: Fast image and video segmentation using single-touch interaction
Computer Vision and Image Understanding
Computer Vision and Image Understanding
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In recent years, researchers have proposed introducing statistical shape knowledge into level set-based segmentation methods in order to cope with insufficient low-level information. While these priors were shown to drastically improve the segmentation of familiar objects, so far the focus has been on statistical shape priors which are static in time. Yet, in the context of tracking deformable objects, it is clear that certain silhouettes (such as those of a walking person) may become more or less likely over time. In this paper, we tackle the challenge of learning dynamical statistical models for implicitly represented shapes. We show how these can be integrated as dynamical shape priors in a Bayesian framework for level set-based image sequence segmentation. We assess the effect of such shape priors "with memory” on the tracking of familiar deformable objects in the presence of noise and occlusion. We show comparisons between dynamical and static shape priors, between models of pure deformation and joint models of deformation and transformation, and we quantitatively evaluate the segmentation accuracy as a function of the noise level and of the camera frame rate. Our experiments demonstrate that level set-based segmentation and tracking can be strongly improved by exploiting the temporal correlations among consecutive silhouettes which characterize deforming shapes.