[{"external_id":{"isi":["000303242600004"]},"author":[{"orcid":"0000-0001-8622-7887","first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Peters, Jan","first_name":"Jan","last_name":"Peters"}],"title":"Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components","department":[{"_id":"ChLa"}],"file":[{"file_name":"2012_Springer_Lampert.pdf","file_id":"5958","checksum":"241be47ea50e81a283bcf4c45b07e8cc","creator":"kschuh","date_created":"2019-02-12T10:52:25Z","access_level":"open_access","relation":"main_file","date_updated":"2020-07-14T12:46:04Z","content_type":"application/pdf","file_size":2933187}],"scopus_import":"1","corr_author":"1","publication_status":"published","has_accepted_license":"1","oa_version":"Submitted Version","day":"01","abstract":[{"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.","lang":"eng"}],"ddc":["000"],"publication":"Journal of Real-Time Image Processing","issue":"1","date_created":"2018-12-11T12:02:15Z","quality_controlled":"1","publication_identifier":{"eissn":["1861-8219"],"issn":["1861-8200"]},"language":[{"iso":"eng"}],"date_published":"2012-03-01T00:00:00Z","file_date_updated":"2020-07-14T12:46:04Z","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.","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>","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.","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>.","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>.","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>"},"oa":1,"month":"03","volume":7,"article_processing_charge":"No","intvolume":"         7","date_updated":"2025-09-30T07:46:36Z","publisher":"Springer","status":"public","type":"journal_article","publist_id":"3417","doi":"10.1007/s11554-010-0168-3","year":"2012","_id":"3248","page":"31 - 41","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","isi":1,"article_type":"original"}]