deletions | additions       diff --git a/The_overall_performances_in_terms__.tex b/The_overall_performances_in_terms__.tex  index 8353695..fc7d236 100644  --- a/The_overall_performances_in_terms__.tex  +++ b/The_overall_performances_in_terms__.tex 
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The \citet{regazzoni2014rgb} compared in his study the performances of RGB and RGB-D cameras (Kinect). \citet{regazzoni2014rgb} said that, the  overall performances in terms of precision are more or less the same between the two, and it is always below 100 mm in the absence of macroscopic problems like with only little issues on  body segment segmentation  mismatching. Thus, the researchers stated that on the basis of the precision RGB and RGB-D cameras are not recommended whenever a higher precision is needed. The features that distinguish the two technologies depend on their inner characteristics. The six RGB cameras system has the intrinsic benefit of having multiple points of view and this minimize blind spots and occlusions. The drawback is study shows  that thetime spent for setup and calibration of six devices takes much more time and a large free space around the scene must be free. RGB cameras have also the advantage of acquiring a large scene respect to the Kinect, but they require the scene to have a uniform and light color background to contrast with the actor that must be wearing tight dark cloths, while  Kinect (RGB-D) camera  is not so sensible to room light and colors. Kinect solution is quicker to be set ready and calibration is very simple. Concerning the quantity of generated data, the higher number of cameras is overcome by the fact that the Kinect acquires also a depth image at each frame and the result is that Kinect acquisition files are ten times bigger than those obtained with RGB  cameras. The researchers did not experience any issue due to interference of the infrared light patterns projected by Kinects, mainly due to the space disposition of the sensors around the scene.