Titlebook: KI 2010: Advances in Artificial Intelligence; 33rd Annual German C Rüdiger Dillmann,Jürgen Beyerer,Tanja Schultz Conference proceedings 201

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Conference proceedings 2010under the motto “Anthropomatic Systems.” In this volume you will ?nd the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted wor

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A Computational Model of Human Movement Coordinationely, it is currently unknown how the human central nervous system (CNS) chooses one movement out of the plethora of possible movements to solve the task at hand. The purpose of this study is the construction of a computational model of human movement coordination to unravel the principles the CNS mi

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Local Adaptive Extraction of Referencesstems or citation analysis. Automatic extraction methods suffer from the heterogeneity of reference notation, no matter wether the extraction model was handcrafted or learnt from labeled data. However, references of the same paper or journal are usually homogeneous. We exploit this local consistency

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Logic-Based Trajectory Evaluation in Videoseriments have to be performed in this context which suggested to (at least partially) automate the evaluation of such experimental runs. A logic-based approach has been developed which generates Natural Language textual descriptions of evaluation runs and facilitates the formulation of specific hint

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A Testbed for Adaptive Human-Robot Collaborationimulation of an autonomous robot to interact with a second, human-controlled agent as in a computer game. We have conducted a user study to demonstrate the viability of the approach for adaptive human-aware planning for collaborative everyday activities. The paper presents the details of our simulat

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Human Head Pose Estimation Using Multi-appearance Featureses and emotional expressions since other signals - like the interpersonal distance and orientation - do also have large influence on the communication process. Therefore, this paper presents a marker-less mono-ocular object pose estimation using a model-to-image registration technique. The object mo

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Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camerenerate dense volumetric reconstructions of a person within the capture volume. The 3d reconstructions are then used to fit a 3d cone model into the data utilizing the Iterative Closest Point (ICP) algorithm. We can show that it is beneficial to use multi camera data instead of a single time of flig

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