• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.23 no.1
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• pp.11-19
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• 2013

Backgrounds: Occupations are grouped on the basis of similarity in tasks and duties performed. Standard occupational classification (SOC) is a tool for organizing all professions into a clearly defined set of groups according to the tasks and duties undertaken in the respective jobs. Objectives: The major objective of this study is to comprehensively review how a SOC system is used in occupational and safety fields such as surveillance, exposure monitoring, occupational epidemiological study, management of carcinogens and analysis of occupational accidents. Methods: We summarized the cases, policies and regulations used in SOC systems in advanced countries and as they appear in articles Results: We found that SOC systems have been widely used in various areas of occupational safety and health in the US, the UK, Finland, and the EU. In general, it is highly common to use SOC in the analysis of occupational accidents and diseases and to identify factors causing those accidents. The SOC system is also used not only for surveillance of exposure to hazardous agents and occupational health, but to manage carcinogens. In order to adjust the effects of a particular job, SOC is used in the general population health area. The Ministry of Employment and Labor (MOEL) has never used or introduced an SOC system. There have been no cases of the application of a SOC system to either the occupational safety and health field or to health surveillance for the general population in Korea. Conclusions: We suggested a need to introduce an SOC system in several occupational safety and health activities, such as work environment measurement, analysis of occupational accidents, specific physical examination and surveillance systems, etc.

• Information Systems Review
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• v.9 no.1
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• pp.121-137
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• 2007

Several security systems(firewall, intrusion detection system, vaccine for malicious codes and so on), whose purposes are to prevent the external information security threat, have gathered more technological concerns. However, they are little effective for the area of defending the internal information security threat which occurs more frequently and results in much more monetary damages. In this paper, a system for internal surveillance and control on the use of information systems is suggested and described with its architecture, features, necessary functions and development methods. And a case system is introduced to show the reality of this paper.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.418-424
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• 2014

In this paper, we propose a boundary input method for video surveillance systems. Since intrusion of a moving object is decided by comparition of its position and the surveillance boundary, the boundary input method is a basic function in video surveillance. Previous methods are difficult to adapt to the change of surveillance environments such as the size of surveillance area, the number of cameras, and the position of cameras because those build up the surveillance boundary using the captured image in the center of each camera. In our approach, the whole surveillance boundary is once defined in the form of polygon based on the satellite map and transformed into each camera environment. Its characteristics is that the boundary input is independent from the surveillance environment. Given the position of a moving object, the time complexity of its intrusion detection shows O(n), where n is the number of polygon vertices. To verify our method, we implemented a 3D simulation and assured that the input boundary can be reused in each camera without any redefinition.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.2
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• pp.153-162
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• 2014

As CCTVs are widely utilized in diverse fields, many researchers have continuously studied to improve the surveillance performances of a CCTV system. However, an quantitative evaluation approach about the surveillance performance has rarely been researched. Therefore, we set up the research for suggesting a quantitative evaluation approach to determine the effectiveness of CCTV coverages. We firstly defined the surveillance resolution as that varies according to object's positions and orientations. Based on the definition, we computed surveillance resolution values at all three-dimensional positions with the orientations of interests in the specified space. By comparing these values to the required reasonable resolution, we determined the surveillance performance index indicating how well a CCTV system monitor a target space for specific surveillance objectives. This proposed approach evaluates the surveillance performance of a CCTV system quantitatively, so as examines the CCTV system design before its installation based on precise 3D spatial analysis.

• The Journal of Korea Robotics Society
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• v.15 no.4
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• pp.392-397
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• 2020

Unmanned robots are very useful for autonomous security systems. These robots navigate autonomously move in a large area for surveillance. It is very important for robots that cover such a wide area to communicate with a control systems. Therefore, the control system needs various communication methods to check the status of the robot and send/receive messages. In addition, it is necessary to provide an easy interface for the user to send security mission commands to the robot. In this paper, we propose a control system based on a variety of communication techniques to perform security by safely communicating with a number of robots in a wide area space. The proposed system designed for considering user UI, data storage and management, and shows usability by constructing it in a real environment.

• Journal of Sensor Science and Technology
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• v.24 no.1
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• pp.54-61
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• 2015

In recent years, there has been increasing use of automatic surveillance and monitoring systems based on vision sensors. Humans are often the most important target in the systems, but processing human images is difficult due to the small sizes and flexible motions. Particularly, occlusion among pedestrians in camera images brings practical problems. In this paper, we propose a novel method to separate image regions of occluded pedestrians. A camera equipped with a wide angle lens is attached to the ceiling of a building corridor for sensing pedestrians with a wide field of view. The output images of the camera are processed for the human detection, tracking, identification, distortion correction, and occlusion handling. We resolve the occlusion problem adaptively depending on the angles and positions of their heads. Experimental results showed that the proposed method is more efficient and accurate compared with existing methods.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.5
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• pp.505-510
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• 2009

In recent years the space where a robot works has been expanding to the human space unlike traditional industrial robots that work only at fixed positions apart from humans. A human in the recent situation may be the owner of a robot or the target in a robotic application. This paper deals with the latter case; when a robot vision system is employed to monitor humans for a surveillance application, each person in a scene needs to be identified. Humans, however, often move together, and occlusions between them occur frequently. Although this problem has not been seriously tackled in relevant literature, it brings difficulty into later image analysis steps such as tracking and scene understanding. In this paper, a probabilistic neural network is employed to learn the patterns of the best dividing position along the top pixels of an image region of partly occlude people. As this method uses only shape information from an image, it is simple and can be implemented in real time.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.5
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• pp.317-324
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• 2015

In his paper, we propose the graphic-based direction tracking system that be able to detect the current location and direction of the flight object and virtually run the pointing to the flight direction when a small UAV is located in the occlusion area behind buildings or obstacles in the moving surveillance systems. Based on the experimental results about the simulation flight path extracted from the Mission Planner we found the proposed system operates the desired flight mission effectively in tracking.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.4
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• pp.228-233
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• 2014

In recent general social surveillance systems, secure access control mechanism is needed. ONVIF establishes standards for interoperability between cameras and defines web service framework for it. In this paper we present an efficient attribute based access control mechanism for surveillance system networks which follow the ONVIF standards. It accommodates web service information security techniques and provides efficient secure access control.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1289-1301
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• 2015

Pedestrian detection (PD) is an essential task in various applications and sliding window-based methods utilizing HOG (Histogram of Oriented Gradients) or HOG-like descriptors have been shown to be very effective for accurate PD. However, due to exhaustive search across images, PD methods based on sliding window usually require heavy computational time. In this paper, we propose a real-time PD method for embedded visual surveillance with fixed backgrounds. The proposed PD method employs HOG descriptors as many PD methods does, but utilizes selective search so that it can save processing time significantly. The proposed selective search is guided by restricting searching to candidate regions extracted from Adaptive Gaussian Mixture Model (AGMM)-based background subtraction technique. Moreover, approximate computation of HOG descriptor and implementation in fixed-point arithmetic mode contributes to reduction of processing time further. Possible accuracy degradation due to approximate computation is compensated by applying an appropriate one among three offline trained SVM classifiers according to sizes of candidate regions. The experimental results show that the proposed PD method significantly improves processing speed without noticeable accuracy degradation compared to the original HOG-based PD and HOG with cascade SVM so that it is a suitable real-time PD implementation for embedded surveillance systems.