{"date_created":"2018-12-11T12:02:15Z","publist_id":"3417","ddc":["000"],"publication":"Journal of Real-Time Image Processing","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","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."}],"author":[{"first_name":"Christoph","last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887","full_name":"Lampert, Christoph"},{"full_name":"Peters, Jan","first_name":"Jan","last_name":"Peters"}],"corr_author":"1","has_accepted_license":"1","publication_identifier":{"issn":["1861-8200"],"eissn":["1861-8219"]},"oa":1,"article_processing_charge":"No","page":"31 - 41","scopus_import":"1","language":[{"iso":"eng"}],"intvolume":" 7","department":[{"_id":"ChLa"}],"status":"public","issue":"1","_id":"3248","volume":7,"publication_status":"published","doi":"10.1007/s11554-010-0168-3","year":"2012","day":"01","date_updated":"2024-10-09T20:54:43Z","file":[{"file_size":2933187,"date_updated":"2020-07-14T12:46:04Z","creator":"kschuh","checksum":"241be47ea50e81a283bcf4c45b07e8cc","file_id":"5958","content_type":"application/pdf","relation":"main_file","file_name":"2012_Springer_Lampert.pdf","access_level":"open_access","date_created":"2019-02-12T10:52:25Z"}],"oa_version":"Submitted Version","date_published":"2012-03-01T00:00:00Z","month":"03","publisher":"Springer","quality_controlled":"1","file_date_updated":"2020-07-14T12:46:04Z","article_type":"original","title":"Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components","type":"journal_article","citation":{"mla":"Lampert, Christoph, and Jan Peters. “Real-Time Detection of Colored Objects in Multiple Camera Streams with off-the-Shelf Hardware Components.” Journal of Real-Time Image Processing, vol. 7, no. 1, Springer, 2012, pp. 31–41, doi:10.1007/s11554-010-0168-3.","ieee":"C. Lampert and J. Peters, “Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components,” Journal of Real-Time Image Processing, 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.” Journal of Real-Time Image Processing. Springer, 2012. https://doi.org/10.1007/s11554-010-0168-3.","short":"C. Lampert, J. Peters, Journal of Real-Time Image Processing 7 (2012) 31–41.","apa":"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. Springer. https://doi.org/10.1007/s11554-010-0168-3","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.","ama":"Lampert C, Peters J. Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. 2012;7(1):31-41. doi:10.1007/s11554-010-0168-3"}}