Event or emergency case detection by human running
| dc.authorid | 0000-0002-1941-6693 | en_US |
| dc.contributor.author | Abdi, Mohamed Artan | |
| dc.contributor.author | Turan, Metin | |
| dc.date.accessioned | 2021-12-29T10:21:35Z | |
| dc.date.available | 2021-12-29T10:21:35Z | |
| dc.date.issued | 2021 | en_US |
| dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.doi | 10.1007/978-981-16-1781-2_81 | en_US |
| dc.identifier.endpage | 951 | en_US |
| dc.identifier.scopus | 2-s2.0-85115632770 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 943 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11467/5149 | |
| dc.identifier.uri | https://doi.org/10.1007/978-981-16-1781-2_81 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartof | Proceedings of Sixth International Congress on Information and Communication Technology | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Road security system | en_US |
| dc.subject | Human activities | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | CNN | en_US |
| dc.title | Event or emergency case detection by human running | en_US |
| dc.type | Conference Object | en_US |
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