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Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
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.
@article{6651, title = {Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components }, journal = {Journal of Real-Time Image Processing}, 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.}, volume = {7}, number = {1}, pages = {31-41}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = mar, year = {2012}, slug = {6651}, author = {Lampert, CH. and Peters, J.}, month_numeric = {3} }