Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
2012
Article
ei
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 |
Links: |
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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}, doi = {10.1007/s11554-010-0168-3}, month_numeric = {3} } |