Journal article
Design of an intelligent video surveillance system for crime prevention: Applying deep learning technology
Multimedia Tools and Applications
2021
Abstract
As the security threat and crime rate have been increased all over the globe, the video surveillance system using closed-circuit television (CCTV) has become an essential tool for many security-related applications and is widely used in many areas as a monitoring system. However, most of the data collected by the video surveillance system is used as evidence of objective data after crime and disaster have occurred. And, often time, video surveillance systems tend to be used in a passive manner due to the high cost and human resources. The video surveillance system should actively respond to detect crime and accidents in advance through real-time monitoring and immediately transmit data in case of an accident. This study proposes developing an intelligent video surveillance system that can actively monitor in real-time without human input. In solving the problems of the existing video surveillance system, deep learning technology will be carried through the data processing model design to visualize data for crime detection after building an artificial intelligence server and video surveillance camera. In addition, this design proposes an intelligent surveillance system to quickly and effectively detect crimes by sending a video image and notification message to the web through real-time processing.
Details
- Title
- Design of an intelligent video surveillance system for crime prevention: Applying deep learning technology
- Authors/Creators
- C-S Sung (Author/Creator) - Dongguk UniversityJ.Y. Park (Author/Creator) - Murdoch University
- Publication Details
- Multimedia Tools and Applications
- Publisher
- Springer Nature
- Identifiers
- 991005544692907891
- Copyright
- © 2021 Springer Nature Switzerland AG.
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.953 Video Object Tracking
- Web Of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- ESI research areas
- Computer Science