• Journal of Digital Contents Society
• /
• v.17 no.4
• /
• pp.273-278
• /
• 2016

Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.

• The Journal of the Korea Contents Association
• /
• v.12 no.3
• /
• pp.190-205
• /
• 2012

The purpose of the paper is to provide policy suggestions for effectively tackling subway crimes, based on the UK and USA's crime control strategies and systems of subway crimes. The paper attempts to analyze the characteristics of subway crimes in Seoul Subways, and discovers that many of the crimes on the subways are basically 'opportunistic' crimes. In particular, crime statistics of Seoul Subways clearly show that sexual-related crimes are on the sharp increase. In this context, it is of great essence that official vigilance functions should be strengthened in order to eliminate crime opportunities in Seoul Subways. Based on such an analysis - in particular, focusing on official surveillance and response capabilities of subway passengers - the paper finally presents policy recommendations as follows: 1) an increase in the number of police officers of the Subway Police Squad, 2) an increase in the number of CCTV cameras and their effective use, 3) the development of subway riders' defence abilities, 4) strong law enforcement against minor disorder offences based on zero-tolerance policing, and 5) the reinforcement of community partnerships.

• Korean Security Journal
• /
• no.27
• /
• pp.7-30
• /
• 2011

Shoplifting causes serious losses to not only stores but also to consumers and society as a whole. There need to be effective society-wide measures to control shoplifting due to its characteristic of playing the role as a stepping stone to induce more serious crimes. However, there is a lack of research on shoplifting in Korea, especially the research analyzing situational factors to suggest effective alternative measures for shoplifting prevention. Therefore, the current study surveyed teenagers, the group known to be the most frequent shoplifters, to see their perception of effectiveness of the situational crime prevention methods used in stores. The result showed that the teenagers found only some of the prevention methods effective, including CCTV, Electronic Article Surveillance(EAS), minimization of blind areas, and watchful clerks. However, factors such as the number of doors and their accessibility and presence of security guards were not perceived to be very effective. Using the result of the survey, this study suggests ways to utilize situational crime prevention methods more effectively to deter shoplifting.

• The Journal of the Korea Contents Association
• /
• v.12 no.3
• /
• pp.9-16
• /
• 2012

The research of vehicle license plate recognition has been widely studied for the smart city project. The license plate recognition can be hard due to the geometric distortion and the image quality degradation in case of capturing the driving car image at CCTV without trigger signal on the road. In this paper, the high performance vehicle license plate recognition system using edge-based segment image is introduced which is robust in the geometric distortion and the image quality degradation according to non-trigger signal. The experimental results of the proposed real time license plate recognition algorithm which is implemented at the CCTV on the road show that the plate detection rate was 97.5% and the overall character recognition rate of the detected plates was 99.3% in a day average 1,535 vehicles for a week operation.

• Journal of the Korea Society for Simulation
• /
• v.31 no.2
• /
• pp.11-20
• /
• 2022

There is a critical need for AI assistance in guard operations of Army base perimeters, which is exacerbated by changes in the national defense and security environment such as force reduction. In addition, the possibility for human error inherent to perimeter guard operations attests to the need for an innovative revamp of current systems. The purpose of this study is to propose a real-time object detection AI tailored to military CCTV surveillance with three unique characteristics. First, training data suitable for situations in which relatively small objects must be recognized is used due to the characteristics of military CCTV. Second, we utilize a data augmentation algorithm suited for military context applied in the data preparation step. Third, a noise reduction algorithm is applied to account for military-specific situations, such as camouflaged targets and unfavorable weather conditions. The proposed system has been field-tested in a real-world setting, and its performance has been verified.

• Korean Educational Research Journal
• /
• v.41 no.2
• /
• pp.25-53
• /
• 2020

Purpose: School safety has recently become an important issue. In order to make a school environment safer, surveillance cameras have been installed in the facilities. The number of installations has been increasing rapidly since they have been considered widely recognizable and highly effective. However, conflicts between faculty and staff in installing and operating the system have also been increasing. In terms of school safety, these individuals'' cooperation is more than necessary. It is judged that looking into how they perceive the system could provide us with some suggestions on how to manage the related issues. The purpose of this study is to understand the perspective of faculty over closed-circuit television (CCTV) and make suggestions by analyzing their actions. Approach: In order to achieve the research objectives, I surveyed administrative actions such as the processing of official documents and CCTV policies for teachers and administrative staff of public schools in the Sejong Office of Education. In addition, I analyzed the behavior of those managing personal information and school safety-related documents along with the degree of complying with the policies. Finding: First, the correspondence rate of documents was high when there were designated document processors. Second, the acceptance level of documents in preschool was relatively low when there were designated processors. Third, the degree of accepting the policies and complying with them was higher in newly established schools than in existing schools. I found differences in the perception of how to handle the CCTV operations and the related work among the two groups of participants. In addition, I made suggestions on how to resolve the conflicts between them. Value: In this study, the education authorities quantified and measured the recognition and acceptance of faculty and staff regarding CCTV at each school level. Results showed that the active role of education authorities can make positive changes in how faculty and staff perceive the CCTV system and the problems surrounding it through school administrative action. In this regard, these results are meaningful in reducing the conflicts among the two groups and improving the organizational culture.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.45 no.6
• /
• pp.194-203
• /
• 2008

Though conventional video surveillance systems such as CCTV depended on operators, recently developed intelligent surveillance systems no longer needed operators. However, these new intelligent surveillance systems have their own problems such as Occlusion, changing scale of target object, and affine. This paper handled information damage caused by changing the scale of the target object among other objects. Due to the change of the scale, the inaccurate information of target can be obtained when we update the background information. To handle this problem, we introduce a solution for information damage caused by problem of changing scale of target object located among other objects. Specifically, we suggest multi-stage sampling particle filter based advanced MSER for object tracking system. Through this method, the problem caused by changing scale of target can be avoided.

• Journal of Internet Computing and Services
• /
• v.12 no.2
• /
• pp.123-133
• /
• 2011

This paper introduces security problems on the video surveillance systems where the network cameras are equipped at remote places and isolated from the updated and secure environment and proposes a framework for a proxy server that is delegated to connect to network cameras by providing a secure connections from the clients. The server in the framework is deployed within a secure network, secretes the information for connection to cameras and authenticates the clients. Additionally, it provides a secure video service incorporating multi-level privileges for both images and clients through a encryption key distribution and management facility. Through an implementation of the server and a its deployment, it was proved that In this server implement to multi network camera and we confirm compare direct access to network camera equal video quality of service and it can be protection network camera. We expect that can be secure and integral management about traditional network camera through experimental result.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.6
• /
• pp.7-14
• /
• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.4
• /
• pp.771-783
• /
• 2012

This paper proposes a scheme to collect video data of the vehicle black box in order to strengthen the public safety. The existing schemes, such as surveillance system with the fixed CCTV and car black box, have privacy issues, network traffic overhead and the storage space problems because all video data are sent to the central server. In this paper, the central server only collects the video data related to the accident or the criminal offense using the GPS information and time in order to investigation of the accident or the criminal offense. The proposed scheme addresses the privacy issues and reduces network traffic overhead and the storage space of the central server since the central server collects the video data only related to the accident and the criminal offense. The implementation and experiment shows that our service is feasible. The proposed service can be used as a component of remote surveillance system to prevent the criminal offense and to investigate the criminal offense.