کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9653374 679045 2005 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
View-independent person identification from human gait
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
View-independent person identification from human gait
چکیده انگلیسی
Based on a three-dimensional (3D) linear model and the Bayesian rule, a method is explored to identify human walkers from two-dimensional (2D) motion sequences taken from different viewpoints. Principal component analysis constructs the 3D linear model from a set of Fourier represented examples. The sets of coefficients derived from projecting 2D motion sequences onto the 3D model by means of a maximum a posterior estimate is used as a signature of a walker. Simulating an identification experiment on a set of walking data we show that these signatures show invariance across viewpoints and can be used for viewpoint-independent person identification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 1–3, December 2005, Pages 250-256
نویسندگان
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