Region extraction of a gaze object using the gaze point and view image sequences
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
International Journal of Computer Vision
Dynamical Statistical Shape Priors for Level Set-Based Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
People tracking and segmentation using spatiotemporal shape constraints
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Face detection and tracking using a Boosted Adaptive Particle Filter
Journal of Visual Communication and Image Representation
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
Interactive segmentation for manipulation in unstructured environments
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Contour tracking with abrupt motion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A determined binary level set method based on mean shift for contour tracking
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Journal of Visual Communication and Image Representation
Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering
Image and Vision Computing
SIAM Journal on Imaging Sciences
Particle filtering with dynamic shape priors
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Boundary fragment matching and articulated pose under occlusion
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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
Integrated tracking and recognition of human activities in shape space
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
People tracking and segmentation using efficient shape sequences matching
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Spaces and manifolds of shapes in computer vision: An overview
Image and Vision Computing
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Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a higher dimensional function. This representation is able to deal with singularities and changes in topology of the contour. It has been used very successfully in static images for segmentation and registration problems where the contour (represented as an implicit curve) is evolved until it minimizes an image based energy functional. But tracking involves estimating the global motion of the object and its local deformations as a function of time. Some attempts have been made to use geometric active contours for tracking, but most of these minimize the energy at each frame and do not utilize the temporal coherency of the motion or the deformation. On the other hand, tracking algorithms using Kalman filters or Particle filters have been proposed for finite dimensional representations of shape. But these are dependent on the chosen parametrization and cannot handle changes in curve topology. In the present work, we formulate a particle filtering algorithm in the geometric active contour framework that can be used for tracking moving and deforming objects.