مشاهده مشخصات مقاله
Human Identification by Gait using k-mean Clustering Algorithm and Dynamic Time Warping
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نویسنده (ها) |
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A. Amiri
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M. Fathy
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R. Tahery
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Gait Recognition refers to automatic identification of an individual based on his/her style of walking; it's a
new biometrics recognition technology. This paper describes a new approach to gait recognition based on kmean
clustering algorithm. Body silhouette is extracted by a simple background subtraction, and the clustering
is performed to partition image sequence into clusters, so the vectors of feature can be extracted. The recognition
is achieved by dynamic time warping technique. We evaluate the proposed gait recognition method on the Gait
Challenge database of the University of South Florida (USF), and the experimental results demonstrate that our
approach has a good recognition performance. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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