Abstract
Of the current approaches, most are based on analysis of silhouettes. This is like the earlier analysis which concerned abstracting a walking subject from the background and then deriving set of measurements that describe the shape and motion of that silhouette in a sequence of images. This is similar in approach the classic computer vision approach to recognize objects by using shape descriptions of objects derived, say, by optimal thresholding.
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© 2006 Springer Science+Business Media, Inc.
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Nixon, M.S., Tan, T., Chellappa, R. (2006). Silhouette-Based Approaches. In: Human Identification Based on Gait. International Series on Biometrics, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-29488-9_5
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DOI: https://doi.org/10.1007/978-0-387-29488-9_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24424-2
Online ISBN: 978-0-387-29488-9
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