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

2012

Article

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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.

Author(s): Lampert, CH. and Peters, J.
Journal: Journal of Real-Time Image Processing
Volume: 7
Number (issue): 1
Pages: 31-41
Year: 2012
Month: March
Day: 0

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1007/s11554-010-0168-3
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

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BibTex

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