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Our gait-recognition method recovers static
body and stride parameters of subjects as they walk. Our
technique does not directly analyze the dynamic gait patterns, but
uses the action of walking to extract relative body parameters. An ad hoc cross-condition mapping method,
which allows for the identification of a walking subject viewed
under conditions that are different than those at which their
initial data were recorded, is used to map between viewing conditions.
The static body parameters our technique measures, as
a person walks, are four distances: the vertical distance between
the head and foot (d1), the distance between the head and
pelvis (d2), the distance between the foot and pelvis (d3),
and the distance between the left foot and right foot (d4). These distances are measured only at
the maximal separation point of the feet during the double-support
phase of the gait cycle and are concatenated to form a
four-dimensional walk vector w = [d1, d2, d3, d4] for each
subject.
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