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Titlebook: Advances in Visual Computing; 10th International S George Bebis,Richard Boyle,Mark Carlson Conference proceedings 2014 Springer Internation

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Evaluating Depth-Based Computer Vision Methods for Fall Detection under Occlusionsfall detection benchmark dataset containing 60 occluded falls for which the end of the fall is completely occluded. We also evaluate four existing fall detection methods using a single depth camera [1–4] on this benchmark dataset.
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Conference proceedings 2014 Las Vegas, NV, USA. The 74 revised full papers and 55 poster papers presented together with 39 special track papers were carefully reviewed and selected from more than 280 submissions. The papers are organized in topical sections: Part I (LNCS 8887) comprises computational bioimaging, computer grap
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Janusz Kacprzyk,Hannu Nurmi,Mario Fedrizzientified to a monetary class represented by a template coin. The similarity score of two coins is computed from graphs constructed by feature points. Validation on the USA Grading dataset demonstrates that the proposed method obtains promising results with an identification accuracy of 94.4% on 2450 coins of 148 classes.
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https://doi.org/10.1007/978-3-319-14364-4automated image analysis; biomedical data; computer graphics; computer vision; image processing; machine
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978-3-319-14363-7Springer International Publishing Switzerland 2014
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