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

Lampert, CH; Peters, J

doi:10.1007/s11554-010-0168-3

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

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Peters, J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://link.springer.com/content/pdf/10.1007%2Fs11554-010-0168-3.pdf
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Zitation

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.

Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-B802-4

Zusammenfassung

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.