Time efficient ghost removal for motion detection in visual surveillance systems

The problem of ´ghosts´ that appear on foreground/background separation methods is investigated. The contribution provided is a fast and effective algorithm for ghost detection and removal, that can be integrated to any motion detection system that estimates a difference map between the current frame and a background model. The performance of the ghost removal algorithm is assessed using a series of urban traffic video sequences that would normally cause ghost problems.