Human posture prediction by deep learning
Yükleniyor...
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Dicle Üniversitesi Mühendislik Fakültesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
İnterpreting the human posture in human videos and pictures constitutes the most basic structure of human
posture prediction. A system is created that decides what the movement is and what purpose it is made by
evaluating pictures and videos. In this way, a structure has been created that determines and classifies
human movements as an automatic system. A mechanism of motional meaning contained in the created
system has been recognized in such away that the pattern is expressed. It is intended to take advantage of
these components by taking instant information. A result was obtained by primarily inferring instant still
images and eliminating time intervals that do not contain information range. A classification was made
according to their accuracy. Based on the location coordinates of the images and videos, it was tried to
determine how people might react in the neck stage. Thanks to the analysis performed through the joints
with optical flow calculation, motion information was obtained and classifications and analyses expressing
the power of motion were created. Motion information on the region determined in the image is determined
by the detection of joints, revealing the power generated by movement. The created histograms provide
ease of classification of motion. Based on the reliability of the descriptions, which include the concept of
the time in a sequential way with the detection of joints, it was desired to create a sliding classification
mechanism within the framework of these joints. As a result of this study, it was aimed to obtain a
functional structure that can recognize and understand the autonomous movement of stationary or moving
beings. An efficient structure has been created in terms of providing a useful and facilitating mechanism
by solving the problems in estimation.
Açıklama
Anahtar Kelimeler
Human pose estimation, Motion detection, Human body recognition and tracking
Kaynak
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
5
Künye
Kanpak, H. N. ve Arserim, M. A. (2021). Human posture prediction by deep learning. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 12(5), 775-782.
