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This issue could not be otherwise corrected with the ordinary calibration procedure. Next, we present a sensor-wise filtering system to correct for an unknown vehicle motion. A data fusion algorithm is then used to optimally merge the sensor-wise estimated trajectories. We implement most parts of our solution in the graphic processor. Hence, the whole system is able to operate at up to 25 frames per second with a configuration of five cameras. Test results show the accuracy we achieved and the robustness of our solution to overcome uncertainties in the measurements and the modelling.<\/jats:p>","DOI":"10.1017\/s026357471400263x","type":"journal-article","created":{"date-parts":[[2014,12,1]],"date-time":"2014-12-01T13:54:04Z","timestamp":1417442044000},"page":"1855-1879","source":"Crossref","is-referenced-by-count":9,"title":["Real-time multiview data fusion for object tracking with RGBD sensors"],"prefix":"10.1017","volume":"34","author":[{"given":"Abdenour","family":"Amamra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil","family":"Aouf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2014,12,1]]},"reference":[{"key":"S026357471400263X_ref11","doi-asserted-by":"crossref","unstructured":"S. Intille , J. Davis and A. 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