A Maximum Likelihood Framework for Determining Moving Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of the Attitude of 3D Objects from a Single Perspective View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual tracking of known three-dimensional objects
International Journal of Computer Vision
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
The NURBS book (2nd ed.)
X Vision: a portable substrate for real-time vision applications
Computer Vision and Image Understanding
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
A local method for contour matching and its parallel implementation
Machine Vision and Applications
International Journal of Computer Vision
Robust computer vision: an interdisciplinary challenge
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Model-Based Stereo-Tracking of Non-Polyhedral Objects for Automatic Disassembly Experiments
International Journal of Computer Vision - Special issue on image-based servoing
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Probabilistic Data Association Methods for Tracking Complex Visual Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Visual Tracking of Complex Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hyperplane Approximation for Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
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
Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Real-Time Markerless Tracking for Augmented Reality: The Virtual Visual Servoing Framework
IEEE Transactions on Visualization and Computer Graphics
Homography-based 2D Visual Tracking and Servoing
International Journal of Robotics Research
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
Contour/texture approach for visual tracking
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
High accuracy optical flow serves 3-d pose tracking: exploiting contour and flow based constraints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Image moments: a general and useful set of features for visual servoing
IEEE Transactions on Robotics
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Real-time Rigid-body Visual Tracking in a Scanning Electron Microscope
International Journal of Robotics Research
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Foundations and Trends in Robotics
From rendering to tracking point-based 3D models
Image and Vision Computing
Probabilistic cue integration for real-time object pose tracking
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Direct model based visual tracking and pose estimation using mutual information
Image and Vision Computing
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This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimation of a transformation (either a homography or a 3D pose). The parameters of this transformation are estimated using a non-linear minimization of a unique criterion that integrates information both on the texture and the edges of the tracked object. The proposed tracker is more robust and performs well in conditions where methods based on a single cue fail. The framework has been tested for 2D object motion estimation and pose computation. The method presented in this paper has been validated on several video sequences as well as in visual servoing experiments considering various objects. Results show the method to be robust to occlusions or textured backgrounds and suitable for visual servoing applications.