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Titlebook: Image Analysis and Processing – ICIAP 2019; 20th International C Elisa Ricci,Samuel Rota Bulò,Nicu Sebe Conference proceedings 2019 Springe

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Open Set Recognition for Unique Person Counting via Virtual Gatesget marketing. They need to know not only how many people entered but also if they are visiting for the first time and keep track of their exact number. As a result, in this paper we define the new variant of . for videos, that is counting new persons who have not already been counted in the past. T
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A Low-Cost Computer Vision System for Real-Time Tennis Analysis calibrated cameras installed at the sides of the court in order to accurately localize ball and players, and track them in real-time. From this low-level data mid-level events, like shots, bounces, ball in net, and high-level events, like stroke type and line calling, are detected. All this data is
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Virtual Crowds: An LSTM-Based Framework for Crowd Simulationl and the Reciprocal Velocity Obstacle, traditionally rely on empirically-defined functions to characterize the dynamics of a crowd. On the other hand, frameworks based on deep learning, like the Social LSTM and the Social GAN, have proven their ability to predict pedestrians trajectories without re
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Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Cneighbor (1NN) rule. Even if they share a similar formulation—they correct the query-to-prototype distance by taking into account the distance of the prototype to the nearest one from other classes—their relation has never been investigated. The main goal of this paper is studying this relation and
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Adaptive Hybrid Representation for Graph-Based Semi-supervised Classificationd Coding (LHC) was recently proposed as an alternative to the sparse coding scheme that is used in Sparse Representation Classifier (SRC). The LHC blends sparsity and bases-locality criteria in a unified optimization problem. This paper introduces a data-driven graph construction method that exploit
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