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ICPR
2000
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Human Silhouette Recognition with Fourier Descriptors

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Human Silhouette Recognition with Fourier Descriptors
A novel approach for human silhouette recognition is presented. The method is based on Fourier descriptors. We made an analysis of which and how many descriptors are enough to have a general human silhouette representation, and concluded that a reduced number of components, low and high frecuency, is sufficient for representing a human silhouette and for its recognition in different posses. Based on this study, we developed a system that uses 40 normalized descriptors and a nearest centroid classifier for human silhouette recognition. The method was tested with real images of humans and other objects with similar contours, achieving a 97% correct recognition.
Rocío Díaz de León, Luis Enri
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Rocío Díaz de León, Luis Enrique Sucar
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