Visible to the public YOLO Approach in Digital Object Definition in Military Systems

TitleYOLO Approach in Digital Object Definition in Military Systems
Publication TypeConference Paper
Year of Publication2018
AuthorsBenzer, R., Yildiz, M. C.
Conference Name2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT)
Date Publisheddec
KeywordsBig Data, Cameras, cyber terrorism, Deep Learning, deep video, digital object definition, distributed cross-camera surveillance systems, human tracking, indoor monitoring applications, information acquisition, Metrics, military applications, military computing, military systems, multimedia content-based indexing, object detection, object tracking, outdoor monitoring applications, Pattern recognition, pubcrawl, real-time generation detection, Resiliency, Scalability, surveillance, traffic monitoring, two-dimensional videos, video processing, video surveillance, Videos, visual surveillance, YOLO approach

Today, as surveillance systems are widely used for indoor and outdoor monitoring applications, there is a growing interest in real-time generation detection and there are many different applications for real-time generation detection and analysis. Two-dimensional videos; It is used in multimedia content-based indexing, information acquisition, visual surveillance and distributed cross-camera surveillance systems, human tracking, traffic monitoring and similar applications. It is of great importance for the development of systems for national security by following a moving target within the scope of military applications. In this research, a more efficient solution is proposed in addition to the existing methods. Therefore, we present YOLO, a new approach to object detection for military applications.

Citation Keybenzer_yolo_2018