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- W1906975550 abstract "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 frequency, is sufficient for representing a human silhouette and for its recognition in different poses. Based on this study, we developed a system that uses 40 normalized descriptors and a nearest centroid classified for human silhouette recognition. The method was tested with real images of humans and other objects with similar contours, achieving a 97% correct recognition." @default.
- W1906975550 created "2016-06-24" @default.
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- W1906975550 date "2002-11-11" @default.
- W1906975550 modified "2023-10-01" @default.
- W1906975550 title "Human silhouette recognition with Fourier descriptors" @default.
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- W1906975550 doi "https://doi.org/10.1109/icpr.2000.903643" @default.
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