Improvement of methods of «background subtraction» for searching moving objects at railway crossings through computer vision

This article describes the approaches to extract from the video sequence of areas relating to movable objects, which may cause a dangerous situation at a railway crossing. The proposed approach will improve the quality of the mobile object allocation, which will reduce the time image processing to identify moving objects in order to determine the degree of risk. To assess the quality of algorithms was develop a software product and simulated motion capture.