Titlebook: Visual Analysis of Humans; Looking at People Thomas B. Moeslund,Adrian Hilton,Leonid Sigal Book 2011 Springer-Verlag London Limited 2011 Ar

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Part-Based Models for Finding People and Estimating Their Poseor the need for parts, the bulk of the chapter will be split into three core sections on Representation, Inference, and Learning. We begin by describing various gradient-based and color descriptors for parts. We next focus on representations for encoding structural relations between parts, describin

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Feature-Based Pose Estimationo data. We argue that reliable 3D human pose prediction can be achieved through an alliance between image descriptors that encode multiple levels of selectivity and invariance and models that are capable to represent multiple structured solutions. For monocular systems, key to reliability is the cap

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Benchmark Datasets for Pose Estimation and Tracking currently available and the performance of state-of-the-art methods on them. We discuss issues of ground-truth collection and quality, complexity of appearance and poses, evaluation metrics and partitioning of data. We also discusses limitations of current datasets and possible directions in develo

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Action Recognition Using Topic Modelsocessing. In recent years, they were applied to action recognition and other computer vision problems, and achieved great success. Topic models are unsupervised. The models of actions are learned through exploring the co-occurrence of visual features without manually labeled training examples. This

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SS aus dem KZ Esterwegen im Emsland eigens für diesen Zweck überstellt worden waren, durch die Sommerhitze, um die Pl?ne Himmlers zu verwirklichen, und legten unter den Schl?gen der Aufseher auf dem abgeholzten Gel?nde eines ehemaligen Kiefernwaldes die ersten Fundamente für den neuen KZ-Komplex.

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Bastian Leiberogenaufkl?rung in Schulen und Jugendfreizeitheimen. über diesen z.T. l?ngst überf?lligen Bemühungen um eine gesellschaftliche L?sung des Drogenproblems, gerieten allerdings die Adressaten dieser Programme — die betroffenen Abh?ngigen — mehr und mehr aus dem Blickfeld.