Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammed Talal Ghazal"'
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 11:2637-2644
Several factors often contribute to car accidents, most of them caused by human error, and the most notable are drowsiness, fatigue, distracted driving, and alcohol. Although self-driving cars are the best solution to save human lives and avoid car a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c395a05651b57652b1bd8884326d075c
https://doi.org/10.11591/eei.v11i5.3966
https://doi.org/10.11591/eei.v11i5.3966
In the computer vision field, human action recognition depending on pose estimation recently made considerable progress, especially by using deep learning, which improves recognition performance. Therefore, it has been employed in various application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ffc0549e025ddaef5cb075808444a2a
https://zenodo.org/record/7623417
https://zenodo.org/record/7623417
Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a41db6dfadc5d312c5199fb60009ff3d
https://zenodo.org/record/5787953
https://zenodo.org/record/5787953
Many people have been killed indiscriminately by the use of handguns in different countries. Terrorist acts, online fighting games and mentally disturbed people are considered the common reasons for these crimes. A real-time handguns detection survei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c299511dc6c9763a45bb42cdbadae8ba
https://zenodo.org/record/4280340
https://zenodo.org/record/4280340
Autor:
Karam Abdullah, Mohammed Talal Ghazal
Recent studies highlighted on face recognition methods. In this paper, a new algorithm is proposed for face recognition by combining Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), which improves rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20d6dab23456c3a36ec24f64abced5e
https://zenodo.org/record/3947186
https://zenodo.org/record/3947186
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 22:1548
The large-scale distribution of camera networks in the traffic area resulted in the increasing popularity of video surveillance systems. As pedestrian detection and tracking are the critical monitoring targets in traffic surveillance, many studies fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0899f9ef98a8aeb3313cd9f32b4d1a9c
https://doi.org/10.11591/ijeecs.v22.i3.pp1548-1555
https://doi.org/10.11591/ijeecs.v22.i3.pp1548-1555