A Deep Learning-Based Real-Time Video Object Contextualizing and Archiving System

In recent years, we can see the presence of CCTV cameras everywhere in developed cities and urban areas. CCTV cameras are widely equipped in public places, buildings, and entertainment areas. Along with that popularity is the issue of effective management and exploration of CCTV cameras to ensure se...

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Bibliographic Details
Published in:	2023 25th International Conference on Advanced Communication Technology (ICACT) pp. 137 - 144
Main Authors:	Pham, Dinh-Lam, Yoon, Byeongnam, Vu, Viet-Vu, Kim, Joo-Chang, Ahn, Sang-Eun, Chang, Jeong-Hyun, Yoo, Hyun, Sun, Kyonghee, Kim, Kyong-Sook, Kim, Kwanghoon Pio
Format:	Conference Proceeding
Language:	English
Published:	Global IT Research Institute (GiRI) 19-02-2023
Subjects:	Big Data Cameras CCTV Cameras Deep learning-based systems Search problems Streaming media Surveillance Urban areas Video archiving systems Video compression Video object contextualizing
Online Access:	Get full text
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Summary:	In recent years, we can see the presence of CCTV cameras everywhere in developed cities and urban areas. CCTV cameras are widely equipped in public places, buildings, and entertainment areas. Along with that popularity is the issue of effective management and exploration of CCTV cameras to ensure security and safety for people. With a huge data recorded from cameras, we need systems that support monitoring and analysis of camera data as well as instant video data retrieval. In this paper, we introduce a system to contextualize the video content recorded from CCTV cameras in real-time and store data efficiently. The big data generated from the system will make it easier to monitor and operate the camera system to access and search for objects and content in the surveillance cameras.
ISSN:	1738-9445
DOI:	10.23919/ICACT56868.2023.10079454