Titlebook: Computer Vision - ECCV 2014 Workshops; Zurich, Switzerland, Lourdes Agapito,Michael M. Bronstein,Carsten Rothe Conference proceedings 2015

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Regularized Bayesian Metric Learning for Person Re-identification surveillance. In this paper, we propose a new regularized Bayesian metric learning (RBML) method for person re-identification. While numerous metric learning methods have been proposed for person re-identification in recent years, most of them suffer from the small sample size (SSS) problem because

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Investigating Open-World Person Re-identification Using a Droneical role in underpinning many multi-camera surveillance tasks. A fundamental assumption in almost all existing re-identification research is that cameras are in fixed emplacements, allowing the explicit modelling of camera and inter-camera properties in order to improve re-identification. In this p

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Conference proceedings 2015erception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; sur

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The Current Status of Cardiac Surgerythe flexible Beta process model, we can infer the dimensionality of the hidden space using training data itself. We also develop a novel Variational Bayes (VB) algorithm to compute the posterior distribution of the parameters that imposes the constraints (similarity/dissimilarity constraints) direct

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