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Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem., , , , and . CVPR, page 41-48. IEEE Computer Society, (2013)Shadow Modeling and Detection for Robust Foreground Segmentation in Highway Scenarios., , and . VISAPP (2), page 148-157. INSTICC Press, (2010)Likelihood-enhanced Bayesian constrained local models., , , and . ICIP, page 303-307. IEEE, (2014)Learning moving cast shadows for robust foreground detection in highway scenarios., , and . ITSC, page 111-118. IEEE, (2010)Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors., , , and . BMVC, page 1-12. BMVA Press, (2012)Foreground Segmentation via Background Modeling on Riemannian Manifolds., , and . ICPR, page 3570-3574. IEEE Computer Society, (2010)Non-parametric Bayesian Constrained Local Models., , and . CVPR, page 1797-1804. IEEE Computer Society, (2014)Globally optimal solution to multi-object tracking with merged measurements., , and . ICCV, page 2470-2477. IEEE Computer Society, (2011)Using directional statistics to learn cast shadows from a multi-spectral light sources physical model., , and . ICIP, page 3445-3448. IEEE, (2010)High-Speed Tracking with Kernelized Correlation Filters., , , and . CoRR, (2014)