Gait Recognition Based on the Feature Extraction of Gabor Filter and Linear Discriminant Analysis and Improved Local Coupled Extreme Learning Machine
المؤلفون المشاركون
Li, Bin
Guo, Hongli
Zhang, Youmei
Zhang, Yu
Li, Wei
Qiao, Fengjuan
Rong, Xuewen
Zhou, Shuwang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-25
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
A gait energy image contains much gait information, which is one of the most effective means to recognize gait characteristics.
The accuracy of gait recognition is greatly affected by covariates, such as the viewing angle, occlusion of clothing, and walking speed.
Gait features differ somewhat by angles.
Therefore, how to improve the recognition accuracy of a cross-view gait is a challenging task.
This study proposes a new gait recognition algorithm structure.
A Gabor filter is used to extract gait features from gait energy images, since it can extract features of different directions and scales.
We use linear discriminant analysis (LDA) to tackle the problem that the feature dimension restricts the process.
Finally, the improved local coupled extreme learning machine based on particle swarm optimization is used for the classification process of the extracted features of the gait.
The proposed method and other current mainstream algorithms are compared in terms of the recognition accuracy based on the CASIA-A and CASIA-B datasets, and the simulation results show that the proposed algorithm has good performance and performs well at cross-view gait recognition.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Guo, Hongli& Li, Bin& Zhang, Youmei& Zhang, Yu& Li, Wei& Qiao, Fengjuan…[et al.]. 2020. Gait Recognition Based on the Feature Extraction of Gabor Filter and Linear Discriminant Analysis and Improved Local Coupled Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1195920
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Guo, Hongli…[et al.]. Gait Recognition Based on the Feature Extraction of Gabor Filter and Linear Discriminant Analysis and Improved Local Coupled Extreme Learning Machine. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1195920
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Guo, Hongli& Li, Bin& Zhang, Youmei& Zhang, Yu& Li, Wei& Qiao, Fengjuan…[et al.]. Gait Recognition Based on the Feature Extraction of Gabor Filter and Linear Discriminant Analysis and Improved Local Coupled Extreme Learning Machine. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1195920
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195920
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر