We only have discussions of the Chinese rolling out gait tracking widely. Basically you use existing facial databases to match ids to people in observed areas and capture their gait as they pass observed areas. Then it goes into the database. Using partial matching (non ideal observation of gait or face) allows for greater positive matching in non-ideal circumstances.

To match ids to people? I'd think you'd match superegos.