Abstract
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.
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