Influence of driver behavior patterns in correcting video sensing errors in traffic surveillance applications

Correcting video sensing error problems for traffic surveillance was hard investigated over the last years. Several parameters such as light intensity, image quality and resolution, and in general all the key factors related to image capture were considered. We have investigated here a modified MCMC approach based on the influence of typical patterns of driving behavior. These patterns are tested and compared against the standard MCMC algorithm. Results prove achievements in error reduction.