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العنوان
Human Activity Detection and Recognition from RGB-D Videos /
المؤلف
Ibrahim, Alzraa Ahmed Mohammed.
هيئة الاعداد
باحث / الزهراء أحمد محمد
مشرف / مرغنى حسن محمد
مناقش / عبد المجيد أمين علي
مناقش / النميري زناتى علام
الموضوع
Human Activity and RGB-D Videos.
تاريخ النشر
2017.
عدد الصفحات
93 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Computer Science (miscellaneous)
الناشر
تاريخ الإجازة
30/10/2017
مكان الإجازة
جامعة أسيوط - كلية الحاسبات والمعلومات - Computer Science
الفهرس
Only 14 pages are availabe for public view

from 110

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Abstract

Human activity recognition is an enabling technology for many real –world applications, such as human-computer interaction, video retrieval, surveillance and robotics. In the past decades, it has a great amount of interest in the research community. 3D depth sensors have revolutionized the field of computer vision. Depth sensors have enabled many applications that were not feasible before. Activity recognition becomes a lot easier with depth sensors. Depth sensors record both RGB and depth data. In addition to that, depth sensors provide 3D structural information which helps in recognizing actions and postures.