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http://dx.doi.org/10.22640/lxsiri.2021.51.1.53

Location Tracking and Visualization of Dynamic Objects using CCTV Images  

Park, Sang-Jin (LX Spatial Information Research Institute)
Cho, Kuk (LX Spatial Information Research Institute)
Im, Junhyuck (LX Spatial Information Research Institute)
Kim, Minchan (LX Spatial Information Research Institute)
Publication Information
Journal of Cadastre & Land InformatiX / v.51, no.1, 2021 , pp. 53-65 More about this Journal
Abstract
C-ITS(Cooperative Intelligent Transport System) that pursues traffic safety and convenience uses various sensors to generate traffic information. Therefore, it is necessary to improve the sensor-related technology to increase the efficiency and reliability of the traffic information. Recently, the role of CCTV in collecting video information has become more important due to advances in AI(Artificial Intelligence) technology. In this study, we propose to identify and track dynamic objects(vehicles, people, etc.) in CCTV images, and to analyze and provide information about them in various environments. To this end, we conducted identification and tracking of dynamic objects using the Yolov4 and Deepsort algorithms, establishment of real-time multi-user support servers based on Kafka, defining transformation matrices between images and spatial coordinate systems, and map-based dynamic object visualization. In addition, a positional consistency evaluation was performed to confirm its usefulness. Through the proposed scheme, we confirmed that CCTVs can serve as important sensors to provide relevant information by analyzing road conditions in real time in terms of road infrastructure beyond a simple monitoring role.
Keywords
Autonomous Driving; Road Infrastructure; CCTV; AI; Coordinate System Transformation;
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