کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410616 | 679154 | 2009 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural network ensemble with probabilistic fusion and its application to gait recognition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The recognition of a person from his (or her) gait is a relatively new and promising research direction in biometrics since it is noninvasive and human friendly. Gait recognition, however, has the weakness that it is not reliable compared with other biometrics. To increase reliability, we applied a neural network ensemble with probabilistic fusion to the gait recognition problem. To improve recognition accuracy, we define belief as the posterior probability of the pattern and combine the component neural networks of the ensemble based on the belief. Experiments are performed with the NLPR and SOTON databases, and the effectiveness of the proposed method for gait recognition is demonstrated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 7–9, March 2009, Pages 1557–1564
Journal: Neurocomputing - Volume 72, Issues 7–9, March 2009, Pages 1557–1564
نویسندگان
Heesung Lee, Sungjun Hong, Euntai Kim,