Event or emergency case detection by human running
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Recognizing the difference between walking and running is certainly an essential part of standard sports activity classification. Moreover, that can be commented on a security problem in daily life. If someone is running on the street that may show something goes wrong. The purpose of this study is to recognize the everyday actions of the human, whether walking as regular movement or running in the case of emergency or event. In recent years, significant progress has been made in computer vision and machine learning. CNN, a deep learning algorithm for image processing was used for the model. The dataset, a thousand of images, of the study were collected from different sites of the internet or extracted from videos. Classify frequent human movements, whether a regular walk or running action, were separated by 86.85% success in the research.
Açıklama
Anahtar Kelimeler
Road security system, Human activities, Deep learning, CNN
Kaynak
Proceedings of Sixth International Congress on Information and Communication Technology
WoS Q Değeri
Scopus Q Değeri
N/A
