A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Active vision
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Region-based tracking using affine motion models in long image sequences
CVGIP: Image Understanding
Evolutionary fronts for topology-independent shape modeling and recovery
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Active shape models—their training and application
Computer Vision and Image Understanding
Vehicle Segmentation and Classification Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
A variational level set approach to multiphase motion
Journal of Computational Physics
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIAM Journal on Numerical Analysis
International Journal of Computer Vision
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Region Tracking via Level Set PDEs without Motion Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Templates for Feature Extraction from Medical Images
ECCV '90 Proceedings of the First European Conference on Computer Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
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
Region tracking through image sequences
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Geodesic Active Regions for Supervised Texture Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Geometric Level Set Methods in Imaging,Vision,and Graphics
Geometric Level Set Methods in Imaging,Vision,and Graphics
A Variational Framework for Joint Segmentation and Registration
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
International Journal of Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Representing moving images with layers
IEEE Transactions on Image Processing
Colour, texture, and motion in level set based segmentation and tracking
Image and Vision Computing
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Identification of grain boundary contours at atomic scale
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Detecting regions of dynamic texture
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Variational segmentation of image sequences using deformable shape priors
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Hand gesture recognition in natural state based on rotation invariance and OpenCV realization
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Video object contour tracking using improved dual-front active contour
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Adaptive smoothness based robust active contours
Image and Vision Computing
Tracking by means of geodesic region models applied to multidimensional and complex medical images
Computer Vision and Image Understanding
Light speed labeling: efficient connected component labeling on RISC architectures
Journal of Real-Time Image Processing
Variational motion segmentation with level sets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Multiregion level set tracking with transformation invariant shape priors
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A multiphase level set based segmentation framework with pose invariant shape priors
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
3D Video Based Segmentation and Motion Estimation with Active Surface Evolution
Journal of Signal Processing Systems
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking
Journal of Mathematical Imaging and Vision
Adaptive diffusion flow active contours for image segmentation
Computer Vision and Image Understanding
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Motion analysis in computer vision is a well-studied problem with numerous applications. In particular, the tasks of optical flow estimation and tracking are of increasing interest. In this paper, we propose a level set approach to address both aspects of motion analysis. Our approach relies on the propagation of smooth interfaces to perform tracking while using an incremental estimation of the motion models. Implicit representations are used to represent moving objects, and capture their motion parameters. Information from different sources like a boundary attraction term, a background subtraction component and a visual consistency constraint are considered. The Euler-Lagrange equations within a gradient descent method lead to a flow that deforms a set of initial curve towards the object boundaries as well an incremental robust estimator of their apparent motion. Partial extension of the proposed framework to address dense motion estimation and the case of moving observer is also presented. Promising results demonstrate the performance of the method.