{"file":[{"date_updated":"2020-07-14T12:46:04Z","file_id":"5958","date_created":"2019-02-12T10:52:25Z","file_name":"2012_Springer_Lampert.pdf","content_type":"application/pdf","checksum":"241be47ea50e81a283bcf4c45b07e8cc","relation":"main_file","access_level":"open_access","file_size":2933187,"creator":"kschuh"}],"publication":"Journal of Real-Time Image Processing","status":"public","publist_id":"3417","oa":1,"day":"01","author":[{"id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","last_name":"Lampert","first_name":"Christoph","orcid":"0000-0001-8622-7887","full_name":"Lampert, Christoph"},{"first_name":"Jan","full_name":"Peters, Jan","last_name":"Peters"}],"title":"Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components","scopus_import":1,"type":"journal_article","date_created":"2018-12-11T12:02:15Z","has_accepted_license":"1","volume":7,"file_date_updated":"2020-07-14T12:46:04Z","year":"2012","abstract":[{"lang":"eng","text":"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."}],"date_published":"2012-03-01T00:00:00Z","page":"31 - 41","quality_controlled":"1","issue":"1","oa_version":"Submitted Version","publication_status":"published","citation":{"ista":"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.","short":"C. Lampert, J. Peters, Journal of Real-Time Image Processing 7 (2012) 31–41.","mla":"Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” <i>Journal of Real-Time Image Processing</i>, vol. 7, no. 1, Springer, 2012, pp. 31–41, doi:<a href=\"https://doi.org/10.1007/s11554-010-0168-3\">10.1007/s11554-010-0168-3</a>.","apa":"Lampert, C., &#38; Peters, J. (2012). Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. <i>Journal of Real-Time Image Processing</i>. Springer. <a href=\"https://doi.org/10.1007/s11554-010-0168-3\">https://doi.org/10.1007/s11554-010-0168-3</a>","ama":"Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. <i>Journal of Real-Time Image Processing</i>. 2012;7(1):31-41. doi:<a href=\"https://doi.org/10.1007/s11554-010-0168-3\">10.1007/s11554-010-0168-3</a>","ieee":"C. Lampert and J. Peters, “Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components,” <i>Journal of Real-Time Image Processing</i>, vol. 7, no. 1. Springer, pp. 31–41, 2012.","chicago":"Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” <i>Journal of Real-Time Image Processing</i>. Springer, 2012. <a href=\"https://doi.org/10.1007/s11554-010-0168-3\">https://doi.org/10.1007/s11554-010-0168-3</a>."},"department":[{"_id":"ChLa"}],"publisher":"Springer","_id":"3248","ddc":["000"],"doi":"10.1007/s11554-010-0168-3","month":"03","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","date_updated":"2021-01-12T07:42:06Z","intvolume":"         7","language":[{"iso":"eng"}]}