Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Efficient deformable template detection and localization without user initialization
Computer Vision and Image Understanding
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Effciently Solving Dynamic Markov Random Fields Using Graph Cuts
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
International Journal of Computer Vision
Covariance Tracking using Model Update Based on Lie Algebra
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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
Dependent Multiple Cue Integration for Robust Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking non-rigid objects using probabilistic Hausdorff distance matching
Pattern Recognition
A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent advances and trends in visual tracking: A review
Neurocomputing
IEEE Transactions on Image Processing
Localizing Region-Based Active Contours
IEEE Transactions on Image Processing
Neurocomputing
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In this paper we propose a novel tracking method, which provides accurately segmented object boundaries. The first step of the proposed method is to model the object and background using Gaussian mixture model (GMM), and extract a rough contour according to the object edge features. And then the states of the object, including translation, rotation and scale, are estimated using shape context matching. Finally, we take an elastic shape matching method to extract the exact contour. The proposed method is robust enough for tracking object with translation, rotation, scale change and partial occlusion, and it can also be used for real-time tracking applications. Experiments on both synthetic and real world video sequences demonstrate the effectiveness of the proposed method.