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  Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components

Lampert, C., & Peters, J. (2012). Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing, 7(1), 31-41. doi:10.1007/s11554-010-0168-3.

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Lampert, CH, Author           
Peters, J1, 2, Author           
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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We describe RTblob, a high speed vision system that detects objects in cluttered scenes based on their color and shape at a speed of over 800 frames/s. Because the system is available as open-source software and relies only on off-the-shelf PC hardware components, it can provide the basis for multiple application scenarios. As an illustrative example, we show how RTblob can be used in a robotic table tennis scenario to estimate ball trajectories through 3D space simultaneously from four cameras images at a speed of 200 Hz.

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 Dates: 2012-03
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/s11554-010-0168-3
BibTex Citekey: 6651
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Title: Journal of Real-Time Image Processing
Source Genre: Journal
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Pages: - Volume / Issue: 7 (1) Sequence Number: - Start / End Page: 31 - 41 Identifier: -