There are distinctive characteristics in the way people move and walk that are used for biometric
identification. Human gait has individual movement patterns that are well suited for machine identification
. In order not to have to compare complete video sequences with the reference gait sequences, only the silhouette of the persons and their gait cycle are compared. Gait recognition is one of the dynamic biometric methods used in public areas.
Since many streets, squares, entrances and other neuralgic points in urban areas are monitored by video surveillance, gait recognition can be used to filter out those with certain gait characteristics from the many people recorded.