• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.120-125
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• 2016

For the purpose of protecting personal property and lives from incidents, accidents, and threats such as terrorism, video surveillance equipment has been installed and operates in many places. Video surveillance technology has gradually developed into high-quality, high-definition equipment, and a lot of products have been launched. However, closed circuit television (CCTV) equipment for security purposes can invade a person's privacy. In this paper, we propose a way to protect personal video images using meta-data in an intelligent Internet protocol (IP) camera. We designed the system to mask personal video information from meta-data, define the method of image-information access according to user privileges, and show how to utilize the meta-data during storage and recorded data searches. The suggested system complies with guidelines for CCTV installation and operation from Korea's Ministry of the Interior. Installed on only a single server so far, due to the limitations and technical difficulties of hardware performance, it has been difficult to find a method that can be applied to personal image information using real-time protection techniques. Applying the method proposed in this paper can satisfy the guidelines, reduce server costs, and reduce system complexity.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1560-1565
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• 2007

A surveillance system is used many industrial places, and public places to monitor the present situation. Most of the existing surveillance system is composed of the monitors and a lot of cameras that are installed each place to be monitored. The system is usually using the CCTV, closed circuit television, system that is a passive surveillance system. Urban transit operation corporations use the passive surveillance system to monitor the situation of the passengers, and the status of the important facilities. However the officers or operators cannot monitor all of the situation or status constantly, and cannot respond to emergency. In this paper, we propose a sensor network-based intelligent surveillance system to solve these problems. The proposed system is composed of a lot of intelligent sensors that can determine the present status and integrated processor units to detect more precisely events using the information from the sensors. The sensors and the integrated processor are connected by communication network. The proposed system can be installed and used without a lot of change of the existing facilities such as the enormous communication bandwidth increase.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1027-1028
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• 2008

Most of the urban transit operation company in Korea have a passive surveillance system to monitor the status of the passengers and facilities in the urban transit service area. The surveillance system is based on CCTV, closed circuit television, and several sensors, such as a fire sensor. However, this system has some limitations to prevent and cope with the emergency quickly. So the urban transit operation companies have plans to be change their surveillance system to be active. The active surveillance system has an intelligent function to detect the event predefined by managers automatically. To construct the active surveillance system, there are a standard concept design and a function analysis. In this paper, we propose the classification of the functions of the active surveillance system for urban transit. We divide the functions into five parts, ordinary monitoring, safety monitoring, environment monitoring, administration support, and record management. And we describe the systems related to the every functions to clarify the classified functions.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.99-100
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• 2007

Rapid developments of industry and economics have made a metropolis which demands an effective urban transport management system (UTMS). Specially, this paper considers a subway surveillance system based on integrated wireless LAN technologies for public safety. Since a current subway platform security entirely relies on conventional closed circuit television camera (CCTV) or human operators, subway train drivers cannot detect platform states and cope with abnormal situations or accidents immediately. However, through the IP cameras and some wireless routers, high qualify images of the platform conditions can be directly delivered to the train drivers and other station employees in advance of train entering the platform. In this paper, several design issues and problems are discussed when building up the subway management system. Further, we illustrate a system model with the system requirements in real parametric values in order to draw concrete system designs and to realize a practical implementation of the future UTMS.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.11
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• pp.96-101
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• 2015

In recent years, researches regarding optimal placement of CCTV(Closed-circuit Television) cameras via architecture modeling has been conducted. However, for analyzing surveillance coverage through actual human movement, the application of VA(Video Analytics) function of IP(Internet Protocol) cameras has not been studied. This paper compares two methods using data captured from real-world cameras and data acquired from a virtual environment. In using real cameras, we develop GUI(Graphical User Interface) to be used as a logfile which is stored hourly and daily through VA functions and to be used commercially for placement of products inside a shop. The virtual environment was constructed to emulate an real world such as the building structure and the camera with its specifications. Moreover, suitable placement of the camera is done by recognizing obstacles and the number of people counted within the camera's range of view. This research aims to solve time and economic constraints of actual installation of surveillance cameras in real-world environment and to do feasibility study of virtual environment.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.3
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• pp.70-77
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• 2017

Recently, Internet of Things (IoT) and deep learning techniques have affected video surveillance systems in various ways. The surveillance features that perform detection, tracking, and classification of specific objects in Closed Circuit Television (CCTV) video are becoming more intelligent. This paper presents real-time algorithm that can run in a PC environment using only a low power CPU. Traditional tracking algorithms combine background modeling using the Gaussian Mixture Model (GMM), Hungarian algorithm, and a Kalman filter; they have relatively low complexity but high detection errors. To supplement this, deep learning technology was used, which can be trained from a large amounts of data. In particular, an SRGB(Sequential RGB)-3 Layer CNN was used on tracked objects to emphasize the features of moving people. Performance evaluation comparing the proposed algorithm with existing ones using HOG and SVM showed move-in and move-out error rate reductions by 7.6 % and 9.0 %, respectively.

• Journal of the Korean Institute of Gas
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• v.24 no.2
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• pp.29-35
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• 2020

The Chemical Control Act has revised in 2015 to promote chemical safety, particularly enhancing the standards for the installation and management of hazardous chemical handling facilities. However, in some existing facilities, it was difficult to comply with some facility standards because of lack of land, safety accident possibility during rebuilding. In this study, we attempted to provide a more rational approach of dike standard which was the highest(2017: 117, 2018: 83) complaint for two years(2017~2018, 1,087) by prior study, FLACS simulation, analyze safety management standard and conduct a survey. Therefore, considering the purpose of installing the discharge wall only at existing facilities in operation, additional sensors that can detect chemical leakage and leakage were recognized as an additional alternative to installing and operating closed circuit television (CCTV). This will help the safety and cost aspects of small or medium-sized businesses or small and medium-sized enterprises that cannot secure legal grounds or fail to enforce legal regulations due to economic problems such as construction costs.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.284-293
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• 2015

The objective of this paper is to determine the conditions of road surface by utilizing the images collected from closed-circuit television (CCTV) cameras installed on roadside. First, a technique was examined to detect wet surfaces at nighttime. From the literature reviews, it was revealed that image processing using polarization is one of the preferred options. However, it is hard to use the polarization characteristics of road surface images at nighttime because of irregular or no light situations. In this study, we proposes a new discriminant for detecting wet and dry road surfaces using CCTV image data at night. To detect the road surface conditions with night vision, we applied the wavelet packet transform for analyzing road surface textures. Additionally, to apply the luminance feature of night CCTV images, we set the intensity histogram based on HSI(Hue Saturation Intensity) color model. With a set of 200 images taken from the field, we constructed a detection criteria hyperplane with SVM (Support Vector Machine). We conducted field tests to verify the detection ability of the wet road surfaces and obtained reliable results. The outcome of this study is also expected to be used for monitoring road surfaces to improve safety.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.123-131
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• 2015

Bright development of information communication is caused by usabilities and another case to our society. That is, the surveillance which is unlimited to electronic equipment is becoming a transfiguration to a possible society, and there is case that was able to lay in another disasters if manage early error. Be what is living on at traps of surveillance through the Smart phones which a door of domicile is built, and the plane western part chaps, and we who live on in these societies are installed to several places, and closed-circuit cameras (CCTV-Closed Circuit Television) and individual use. On one hand, while the asset value which was special of enterprise for marketing to enterprise became while a collection was easily stored development of information communication and individual information, the early body which would collect illegally was increased, and affair actually very occurred related to this. An investigation agency is endeavored to be considered the digital trace that inquiry is happened by commission act to the how small extent which can take aim at a duty successful of the inquiry whether you can detect in this information society in order to look this up. Therefore, procedures to be essential now became while investigating affair that confiscation search regarding employment trace of a computer or the telephone which delinquent used was procedural, and decisive element became that dividing did success or failure of inquiry whether you can collect the act and deed which was these electronic enemy. By the way, at this time a lot of, in the investigation agencies the case which is performed comprehensively blooms attachment while rummaging, and attachment is trend apprehension to infringe discretion own arbitrary information rising. Therefore, a lot of nation is letting you come into being until language called exile 'cyber' while anxiety is exposed about comprehensive confiscation search of the former information which an investigation agency does. Will review whether or not there is to have to set up confiscation search ambit of electronic information at this respect how.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.114-123
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• 2023

With the development of computer vision technology, video sensors such as CCTV are detecting incident. However, most of the current incident have been detected based on existing fixed imaging equipment. Accordingly, there has been a limit to the detection of incident in shaded areas where the image range of fixed equipment is not reached. With the recent development of edge-computing technology, real-time analysis of mobile image information has become possible. The purpose of this study is to evaluate the possibility of detecting expressway emergencies by introducing computer vision technology to dash cam. To this end, annotation data was constructed based on 4,388 dash cam still frame data collected by the Korea Expressway Corporation and analyzed using the YOLO algorithm. As a result of the analysis, the prediction accuracy of all objects was over 70%, and the precision of traffic accidents was about 85%. In addition, in the case of mAP(mean Average Precision), it was 0.769, and when looking at AP(Average Precision) for each object, traffic accidents were the highest at 0.904, and debris were the lowest at 0.629.