Importance

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Abstract

A method of producing a gait representation for a subject, comprising the steps of: acquiring a sequence of images of the subject representing the gait of said subject; analysing each image of said sequence to identify one or more regions having a certain thickness based on a thickness characteristic function and a threshold value; for each image, removing said one or more regions from said image to produce a modified image; and combining said modified images in the sequence to produce a gait energy image. Calculating and applying a thickness characteristic to the images allows a better identification of regions of the images which are most affected by covariate factors such as carrying an object or wearing heavy clothing. Such covariate factors have been found most often to be associated with the more static parts of the subject, i.e. the torso. The more dynamic parts of the subject, i.e. hands, legs and feet, are less affected by covariate factors and produce reliable gait information that can be used for identification purposes.

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First Claim