Pattern recognition with vector-type detector hits
Presented by Dr. Rudolf FRüHWIRTH on 5 May 2012 from 11:30 to 12:00
Novel types of "intelligent" trackers provide hits consisting of position-cum-direction rather than position alone. We study several types of track finding algorithms in this context, for example the Hough transform, neural networks, a cellular automaton, track following, and the combinatorial Kalman filter. The performance of the algorithms is compared on simulated data in a simplified detector model, for various assumptions about the occupancy. We also voice some conjectures on which algorithms might be promising candidates for online deployment.