Fundamentals of digital image processing
Fundamentals of digital image processing
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Active vision
3D position, attitude and shape input using video tracking of hands and lips
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
The nature of statistical learning theory
The nature of statistical learning theory
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Hyperplane Approximation for Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Parametrized structure from motion for 3D adaptive feedback tracking of faces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
On the computational rationale for generative models
Computer Vision and Image Understanding
Robust tracking with motion estimation and local Kernel-based color modeling
Image and Vision Computing
Autonomous multicamera tracking on embedded smart cameras
EURASIP Journal on Embedded Systems
Efficient multiple faces tracking based on Relevance Vector Machine and Boosting learning
Journal of Visual Communication and Image Representation
Efficient Tracking as Linear Program on Weak Binary Classifiers
Proceedings of the 30th DAGM symposium on Pattern Recognition
A Sparse Regression Mixture Model for Clustering Time-Series
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression
Expert Systems with Applications: An International Journal
Online Sparse Matrix Gaussian Process Regression and Vision Applications
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Anytime learning for the NoSLLiP tracker
Image and Vision Computing
International Journal of Computer Applications in Technology
Sparse Bayesian modeling with adaptive kernel learning
IEEE Transactions on Neural Networks
Prostate cancer localization with multispectral MRI based on relevance vector machines
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Online adaptive radial basis function networks for robust object tracking
Computer Vision and Image Understanding
Non-rigid face tracking with enforced convexity and local appearance consistency constraint
Image and Vision Computing
Ordinal regression with sparse Bayesian
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Distributed text classification with an ensemble kernel-based learning approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Online learning neural tracker
Neurocomputing
A robust particle filter-based face tracker using combination of color and geometric information
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Adaptive sparse vector tracking via online bayesian learning
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Learning efficient linear predictors for motion estimation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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This paper extends the use of statistical learning algorithms for object localization. It has been shown that object recognizers using kernel-SVMs can be elegantly adapted to localization by means of spatial perturbation of the SVM. While this SVM applies to each frame of a video independently of other frames, the benefits of temporal fusion of data are well-known. This is addressed here by using a fully probabilistic Relevance Vector Machine (RVM) to generate observations with Gaussian distributions that can be fused over time. Rather than adapting a recognizer, we build a displacement expert which directly estimates displacement from the target region. An object detector is used in tandem, for object verification, providing the capability for automatic initialization and recovery. This approach is demonstrated in real-time tracking systems where the sparsity of the RVM means that only a fraction of CPU time is required to track at frame rate. An experimental evaluation compares this approach to the state of the art showing it to be a viable method for long-term region tracking.