• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.1-8
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• 2016

Current indoor intrusion detection and location tracking methods have the weakness in seamless operations in tracking the objective because the object must possess a communicating device and the limitation of the single cell size (approximate $100cm{\times}100cm$) exits. Also, the utilization of CCTV technologies show the shortcomings in tracking when the object disappear the area where the CCTV is not installed or illumination is not enough for capturing the scene (e.g. where the context-awarded system is not installed or low illumination presents). Therefore, in this paper we present an improved in-door tracking system based on sensor networks. Such system is built on a simulated scenario and enables us to detect and extend the area of surveillance as well as actively responding the emergency situation. Through simulated studies, we have demonstrated that the proposed system is capable of supplementing the shortcomings of signal cutting, and of estimating the location of the moving object. We expect the study will improve the better analysis of the intruder behavior, the more effective prevention and flexible response to various emergency situations.

• Journal of Broadcast Engineering
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• v.14 no.4
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• pp.409-418
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• 2009

This paper proposes a method to estimate the flow speed of pedestrians in surveillance videos. In the proposed method, the average moving speed of pedestrians is measured by estimating the size of real-world motion from the observed motion vectors. For this purpose, a pixel-to-meter conversion factor is introduced which is calculated from camera parameters. Also, the height information, which is missing because of camera projection, is predicted statistically from simulation experiments. Compared to the previous works for flow speed estimation, our method can be applied to various camera views because it separates scene parameters explicitly. Experiments are performed on both simulation image sequences and real video. In the experiments on simulation videos, the proposed method estimated the flow speed with average error of about 0.08m/s. The proposed method also showed promising results for the real video.

• Journal of Broadcast Engineering
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• v.20 no.3
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• pp.430-439
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• 2015

The demand of violence detection techniques using a video analysis to help prevent crimes is increasing recently. Many researchers have studied vision based behavior recognition but, violent behavior analysis techniques usually focus on violent scenes in television and movie content. Many methods previously published usually used both a color(e.g., skin and blood) and motion information for detecting violent scenes because violences usually involve blood scenes in movies. However, color information (e.g., blood scenes) may not be useful cues for violence detection in surveillance videos, because they are rarely taken in real world situations. In this paper, we propose a method of violent behavior detection in surveillance videos using motion vectors such as flow vector magnitudes and changes in direction except the color information. In order to evaluate the proposed algorithm, we test both USI dataset and various real world surveillance videos from YouTube.

• Korean Security Journal
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• no.60
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• pp.91-111
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• 2019

Violent crimes have increased continuously due to the development of urban society and have become a threatening factor against the residential safety of citizens. The prevention of these crimes is always a major topic in human society and one of the fundamental elements of the quality of life and safety of citizens. In recent years, much attention has been paid to environmental design through the Crime Prevention Through Environmental Design (CPTED) as a preventive measure. Currently, South Korea is promoting the openness and utilization of public data, and crime prevention is one of the fields that can utilize public data actively. This approach to crime prevention utilizing public data will be helpful for the proposal of policies from new viewpoints departing from the general utilization measures of CPTED that improve streetlights and closed-circuit television (CCTV) installations, whose limitations have been pointed out as they are only mechanical surveillance. Thus, this study sets the research scope based on the statistics of the status of five criminal offenses by administrative district in recent years provided by the data portal in Seoul City, the capital of South Korea, as the utilization data and concentrates on the analysis. Based on the analysis results, this study proposes a method to utilize classical music as a new policy for regions where the improvements are most needed. The open-source Python analysis program was employed as the main data analysis and visualization method.

• Journal of the Society of Disaster Information
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• v.11 no.2
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• pp.263-267
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• 2015

This study shows the result of the security assessment of the nationwide key energy facilities and suggests the ways of improving the security level. According to the study, most of the energy facilities are adequately equipped with physical security factors such as security personnel, security systems, fences, and guard posts, but lack of awareness is pervasive among those concerned, so the security operation is inefficient. In other words, inefficient deployment of security personnel, lack of the fundamental knowledge of the security systems, excessive dependence on surveillance cameras' functions such as Pan/Tilt/Zoom, misplaced cameras, low efficiency of monitoring, and irrelevant security plans. To solve these problems, above all, the authority concerned need to develop professional training programs to secure certified security mangers, and need to standardize security process to ensure consistency and to harness the standardization as a source of self assessment to improve security level.

• Journal of the Korean housing association
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• v.22 no.6
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• pp.71-82
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• 2011

Recently the crime against elementary school students has been rapidly increasing. Under these circumstances, this study is to analyze the basic principles of Crime Prevention Through Environmental Design (CPTED) for the elementary school in urban residential area, and suggest some planning and design guidelines. Among 59 elementary schools in Pyongchon, Bundang, and Pangyo new towns, 11 distinctive schools were selected for analysis study. School cases were investigated comparatively from the viewpoints of visibility, securing of observers, activity support and reinforced territoriality on the basis of theoretical crime prevention concepts. The analysis adopts various methods including theoretical research, field study, observation, and examination of plan. Some of findings of this analysis are as follows. Most of schools rely on the mechanical and physical devices such as CCTV, gate control, or walls, which are considered to be quite passive measures and ineffective for the crime prevention. Other effective methods such as offering school facilities to the public or public space sharing with surrounding residents, for the protection of crimevulnerable students by public eyes. Therefore, in order to prevent crimes effectively, it is urgently required to analyze the environments around and in the school, and to improve physical conditions on the basis of CPTED principles.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.5
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• pp.472-477
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• 2016

The most important and critical to the performance of video surveillance systems is to be detected exactly how much. In order to accurately track the object must be able to accurately separate the background and object. However, the system itself rather than the human vision exactly distinguish the object and the background, to assess the situation, it is not easy. If we can accurately detect the background and the object, to be able to accurately track an object, it is possible to increase the reliability of the system, have a significant impact on the success of the entire production system. In this paper, we propose a way to distinguish more precisely the background and the object being to determine the background environment changes more accurately.

• Journal of the Korea society of information convergence
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• v.1 no.1
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• pp.17-24
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• 2008

Video camera play very important roles for preventing many kinds of crimes and resolving those crime affairs. But in the case of recording image of a specific person far from the CCTV, the original image needs to be enlarged and recovered in order to identify the person more obviously. Interpolation is usually used for the enlargement and recovery of the image in this case. However, it has a certain limitation. As the magnification of enlargement is getting bigger, the quality of the original image can be worse. This paper uses FOP(Facial Definition Parameter) proposed by the MPEG-4 SNHC FBA group and introduces a new algorithm that uses face outline information of the original image based on the FOP, which makes it possible to recover better than the known methods until now.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.484-486
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• 2005

Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they falloff from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and stereo camera sensors. In this paper, we propose a stereoscopic video coding scheme for subway accident monitoring system. The proposed scheme is designed for providing flexible video among various displays, such as control center, station employees and train driver. We uses MPEG-2 standard for coding the left-view sequence and IBMDC for predicting the P- and B-types of frames of the right-view sequence. IBMDC predicts matching block by interpolating both motion and disparity predicted macroblocks. To provide efficient stereoscopic video service. we define both temporally and spatially scalable layers for each eye's-view by using the concept of Spatio-Temporal scalability. According to the experimental results. we expect the proposed functionalities will play a key role in establishing highly flexible stereoscopic video codec for ubiquitous display environment where devices and network connections are heterogeneous.

• 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.