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Automatic Human Gait Imitation and Recognition in 3D from Monocular Video with an Uncalibrated Camera
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-35، 35ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-03-08
دولة النشر
مصر
عدد الصفحات
35
التخصصات الرئيسية
الملخص EN
A framework of imitating real human gait in 3D from monocular video of an uncalibrated camera directly and automatically is proposed.
It firstly combines polygon-approximation with deformable template-matching, using knowledge of human anatomy to achieve the characteristics including static and dynamic parameters of real human gait.
Then, these characteristics are processed in regularization and normalization.
Finally, they are imposed on a 3D human motion model with prior constrains and universal gait knowledge to realize imitating human gait.
In recognition based on this human gait imitation, firstly, the dimensionality of time-sequences corresponding to motion curves is reduced by NPE.
Then, we use the essential features acquired from human gait imitation as input and integrate HCRF with SVM as a whole classifier, realizing identification recognition on human gait.
In associated experiment, this imitation framework is robust for the object’s clothes and backpacks to a certain extent.
It does not need any manual assist and any camera model information.
And it is fitting for straight indoors and the viewing angle for target is between 60° and 120°.
In recognition testing, this kind of integrated classifier HCRF/SVM has comparatively higher recognition rate than the sole HCRF, SVM and typical baseline method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yu, Tao& Zou, Jian-Hua. 2012. Automatic Human Gait Imitation and Recognition in 3D from Monocular Video with an Uncalibrated Camera. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-35.
https://search.emarefa.net/detail/BIM-1001694
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yu, Tao& Zou, Jian-Hua. Automatic Human Gait Imitation and Recognition in 3D from Monocular Video with an Uncalibrated Camera. Mathematical Problems in Engineering No. 2012 (2012), pp.1-35.
https://search.emarefa.net/detail/BIM-1001694
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yu, Tao& Zou, Jian-Hua. Automatic Human Gait Imitation and Recognition in 3D from Monocular Video with an Uncalibrated Camera. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-35.
https://search.emarefa.net/detail/BIM-1001694
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1001694
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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