Changes

Finding The aim is to find the optimal setting of the parameters of the Vicon system:Aim is the find the optimal setting based on the different problemwhich needs to be solved. For example , if the animals moves move very fast or slow. Or , or if their motion is mainly on the surface vs. using the full 3D. Different , or based on the different marker sizes and pattern designs.  Currently , the system has 3 different types of parameters:A) # things that needs to be set by adjusting the apparatus (focusing and aperture of the cameras, their directions, etc) (Note: we may not want to change this)B) # parameters that can be set digitally from the Vicon software before recording and that cannot be changed later (store intensity, parameters for resolving overlapping blobs, etc.)C) # parameters that can be set digitally and affect the Vicon's software tracking that can be change later to re-run the analysis pipeline In both category B (2) and C (3) there are around 5-10 important parameters. Finding the optimal setting is very hard doing this manually. Solving challenge C (3) could be done offline, so it is an easier task. B (2) requires actual measurements there. We have a robot vacuum cleaner that goes around in the full area, and can be used for testing. So if there is an algorithm that sets different parameters in the software and robots goes around after the algorithm evaluates the tracking output and changes the parameters until it finds an optimal setting. More details on subproject A- Input :Use the .xcp and image error , world error criteria to judge calibration quality - Output: Estimate the cameras or areas that would perform poorly due to bias in calibration.