Incorporating shape prior into geodesic active contours for detecting partially occluded object

Authors:
Wen Fang;Kap Luk Chan
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Venue:
Pattern Recognition
Year:
2007

Citing 23
Cited 7

Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations

Journal of Computational Physics
Shape Modeling with Front Propagation: A Level Set Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application

Computer Vision and Image Understanding
Geodesic Active Contours

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
Active Appearance Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Gradient Vector Flow: A New External Force for Snakes

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Boundary Finding with Correspondence Using Statistical Shape Models

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
On the Incorporation of shape priors into geometric active contours

VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Diffusion-Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework

VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Geodesic Active Regions for Supervised Texture Segmentation

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Tracking Objects Using Density Matching and Shape Priors

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Real-Time Tracking Using Level Sets

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Level Set Based Shape Prior Segmentation

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Coupled Parametric Active Contours

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

International Journal of Computer Vision
Towards recognition-based variational segmentation using shape priors and dynamic labeling

Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
A survey on visual surveillance of object motion and behaviors

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review

IEEE Transactions on Information Technology in Biomedicine
Active contours without edges

IEEE Transactions on Image Processing
Combining shape prior and statistical features for active contour segmentation

IEEE Transactions on Circuits and Systems for Video Technology

Regularized Reconstruction of Shapes with Statistical a priori Knowledge

International Journal of Computer Vision
The CMA-ES on Riemannian manifolds to reconstruct shapes in 3-D voxel images

IEEE Transactions on Evolutionary Computation
Computer vision for fruit harvesting robots state of the art and challenges ahead

International Journal of Computational Vision and Robotics
Archaeological trace extraction by a local directional active contour approach

Pattern Recognition
Coupling edge and region-based information for boundary finding in biomedical imagery

Pattern Recognition
Unsupervised 2D gel electrophoresis image segmentation based on active contours

Pattern Recognition
Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images

Computer Vision and Image Understanding

Quantified Score

Hi-index	0.01

Visualization

Abstract

A new method to incorporate shape prior knowledge into geodesic active contours for detecting partially occluded object is proposed in this paper. The level set functions of the collected shapes are used as training data. They are projected onto a low dimensional subspace using PCA and their distribution is approximated by a Gaussian function. A shape prior model is constructed and is incorporated into the geodesic active contour formulation to constrain the contour evolution process. To balance the strength between the image gradient force and the shape prior force, a weighting factor is introduced to adaptively guide the evolving curve to move under both forces. The curve converges with due consideration of both local shape variations and global shape consistency. Experimental results demonstrate that the proposed method makes object detection robust against partial occlusions.