• Title/Summary/Keyword: surveillance index

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Quantitative Evaluation on Surveillance Performance of CCTV Systems Based on Camera Modeling and 3D Spatial Analysis (카메라 모델링과 3차원 공간 분석에 기반한 CCTV 시스템 감시 성능의 정량적 평가)

  • Choi, Kyoungah;Lee, Impyeong
    • 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.

WebCam : A Web-based Remote Recordable Surveillance System using Index Search Algorithm (웹캠 : 새로운 인데스검색 알고리듬을 이용한 웹기반 원격 녹화 보안 시스템)

  • Lee, Myeong-Ok;Lee, Eun-Mi
    • The KIPS Transactions:PartC
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    • v.9C no.1
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    • pp.9-16
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    • 2002
  • As existing analog video surveillance systems could save and retrieve data only in a limited space within short distance, it had many constraints in developing into various application systems. However, on the back of development of the Internet and computer technologies, digital video surveillance systems can be controlled from a remote location by web browser without space limits. Moreover, data compression and management technologies with Index Search algorithm make it possible to efficiently handling, storing, and retrieving a large amount of data and further motion detection algorithm enhances a recording speed and efficiency for a practical application, that is, a practical remote recordable video surveillance system using our efficient algorithms as mentioned, called WebCam. The WebCam server system can intelligently record and save video images digitized through efficient database management, monitor and control cameras in a remote place through user authentication, and search logs.

Developing a new index to assess varicella outbreak (수두 유행을 평가하기 위한 신규 지표 개발)

  • Yang, Kiwook;Seo, Incheol
    • Journal of Yeungnam Medical Science
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    • v.34 no.2
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    • pp.222-230
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    • 2017
  • Background: Varicella is the most common infectious disease reported despite the high vaccination rate. Interventions that target humans are particularly effective for varicella because humans are its only natural host. On the other hand, the existing national varicella surveillance systems lack the information to identify an outbreak. Therefore, a new index to assess varicella outbreaks was developed. Methods: The residential addresses of 2,718 varicella cases reported in Daegu in 2016 were converted to geographic coordinates and the distances between new varicella case and previous cases within 21 days were calculated from the date analyzed. Two cases were considered to be adjacent if the distance between them was less than 1 km. Finally, a proximity index was introduced by dividing the number of adjacent cases by the number of new cases on the date analyzed. Results: First, time-series charts and scatter plots were used to verify that the proximity index reflected the spatial closeness of the different varicella cases. The proximity index is helpful in identifying outbreaks from a list of single varicella cases. In addition, in this study, a new epidemic characteristic of varicella based on the proximity index was shown. Conclusion: The proximity index introduced in this study can be used to determine the likelihood of an outbreak from a single case of varicella, and it can be embedded in a web-based national varicella surveillance system that is currently in operation.

Development and Application of CCTV Priority Installation Index using Urban Spatial Big Data (도시공간빅데이터를 활용한 CCTV 우선설치지수 개발 및 시범적용)

  • Hye-Lim KIM;Tae-Heon MOON;Sun-Young HEO
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.2
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    • pp.19-33
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    • 2024
  • CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

A Fast and Robust Algorithm for Fighting Behavior Detection Based on Motion Vectors

  • Xie, Jianbin;Liu, Tong;Yan, Wei;Li, Peiqin;Zhuang, Zhaowen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.11
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    • pp.2191-2203
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    • 2011
  • In this paper, we propose a fast and robust algorithm for fighting behavior detection based on Motion Vectors (MV), in order to solve the problem of low speed and weak robustness in traditional fighting behavior detection. Firstly, we analyze the characteristics of fighting scenes and activities, and then use motion estimation algorithm based on block-matching to calculate MV of motion regions. Secondly, we extract features from magnitudes and directions of MV, and normalize these features by using Joint Gaussian Membership Function, and then fuse these features by using weighted arithmetic average method. Finally, we present the conception of Average Maximum Violence Index (AMVI) to judge the fighting behavior in surveillance scenes. Experiments show that the new algorithm achieves high speed and strong robustness for fighting behavior detection in surveillance scenes.

The Evaluation of Crime Prevention Environment for Cultural Heritage using the 3D Visual Exposure Index (3D 시각노출도를 이용한 문화재 범죄예방환경의 평가)

  • Kim, Choong-Sik
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.35 no.1
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    • pp.68-82
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    • 2017
  • Strengthening surveillance, one of the most important factors in the crime prevention environment of cultural heritages, has difficulty in evaluating and diagnosing the site. For this reasons, surveillance enhancement has been assessed by modelling the shape of cultural heritage, topography, and trees digitally. The purpose of this study is to develop the evaluation method of crime prevention environment for cultural heritage by using the 3D visual exposure index (3DVE) which can quantitatively evaluate the surveillance enhancement in three dimensions. For the study, the evaluation factors were divided into natural, organizational, mechanical, and integrated surveillance. To conduct the analysis, the buildings, terrain, walls, and trees of the study site were modeled in three dimensions and the analysis program was developed by using the Unity 3D. Considering the working area of the person, it is possible to analyze the surveillance point by dividing it into the head and the waist position. In order to verify the feasibility of the 3DVE as the analysis program, we assessed the crime prevention environment by digitally modeling the Donam Seowon(Historic Site No. 383) located in Nonsan. As a result of the study, it was possible to figure out the problems of patrol circulation, the blind spot, and the weak point in natural, mechanical, and organizational surveillance of Donam Seowon. The results of the 3DVE were displayed in 3D drawings, so that the position and object could be identified clearly. Surveillance during the daytime is higher in the order of natural, mechanical, and organizational surveillance, while surveillance during the night is higher in the order of organizational, mechanical, and natural surveillance. The more the position of the work area becomes low, the more it is easy to be shielded, so it is necessary to evaluate the waist position. It is possible to find out and display the blind spot by calculating the surveillance range according to the specification, installation location and height of CCTV. Organizational surveillance, which has been found to be complementary to mechanical surveillance, needs to be analyzed at the vulnerable time when crime might happen. Furthermore, it is note that the analysis of integrated surveillance can be effective in examining security light, CCTV, patrol circulation, and other factors. This study was able to diagnose the crime prevention environment by simulating the actual situation. Based on this study, consecutive researches should be conducted to evaluate and compare alternatives to design the crime prevention environment.

An Assessment Study for the Urban Air Monitoring Network in Seoul (서울지역 도시대기측정망 평가 연구)

  • Ghim, Young Sung;Choi, Yongjoo;Park, Ji Soo;Kim, Chan Hyuk
    • Journal of Korean Society for Atmospheric Environment
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    • v.30 no.5
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    • pp.504-509
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    • 2014
  • Twenty-five stations of the urban monitoring network in Seoul were assessed with a focus on surveillance function of the exceedances of 8-hour ozone and 24-hour $PM_{10}$ standards. The two standards were selected because their attainment rates were particularly low. Two hierarchical cluster analyses were performed to group stations with similar atmospheric environments-one using daily highest 8-hour [$O_3+NO_2$], 8-hour $O_3$ concentrations plus corresponding 8-hour $NO_2$ concentrations considering the interconversion of $O_3$ and $NO_2$, and the other using 24-hour $PM_{10}$ concentrations. An index to measure higher concentration and exceedances of the standards was introduced. Within a cluster, sufficiently high score was assigned to the trends station or the station with higher index. Scores for $O_3+NO_2$ and $PM_{10}$ of a given station were added and ranked in the descending order to determine the relative importance.

Density of Chigger Mites as Tsutsugamushi Vectors Collected from Jinan, Jeollabuk-do (전북 진안에서 채집한 쯔쯔가무시 매개 털진드기 밀도)

  • Lee, Hyeok Jae;Park, Chul
    • Korean Journal of Clinical Laboratory Science
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    • v.52 no.4
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    • pp.364-371
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    • 2020
  • The Korea Centers for Disease Control and Prevention is conducting surveillance of climate change vectors across all regions in Korea to counteract the spread of these vectors. As a part of this surveillance project, wild rodents were captured using traps to investigate the spread of chigger mites, the vector of Tsutsugamushi disease, across Jeonbuk, Jinan region, and to conduct studies on pathogens. Twenty samplers were used to sample chigger mites weekly from September to November in four different locations. Six hundred and eleven chigger mites of eight varying types were captured. The largest number of captured chigger mites was N. tamiyai, with 434 samples (71.0%). With the addition of 66 wild rodents captured from traps, 3,050 chigger mites were sampled, which yielded a Chigger index of 46.2. The monthly Chigger index was highest in November with a value of 206.1. the result of the test conducted in the presence of pathogens showed two positive results, each from May and September, out of all 85 pools. This result was aligned with the increased frequency in tsutsugamushi disease cases in spring and fall seasons.

Crowd escape event detection based on Direction-Collectiveness Model

  • Wang, Mengdi;Chang, Faliang;Zhang, Youmei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.9
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    • pp.4355-4374
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    • 2018
  • Crowd escape event detection has become one of the hottest problems in intelligent surveillance filed. When the 'escape event' occurs, pedestrians will escape in a disordered way with different velocities and directions. Based on these characteristics, this paper proposes a Direction-Collectiveness Model to detect escape event in crowd scenes. First, we extract a set of trajectories from video sequences by using generalized Kanade-Lucas-Tomasi key point tracker (gKLT). Second, a Direction-Collectiveness Model is built based on the randomness of velocity and orientation calculated from the trajectories to express the movement of the crowd. This model can describe the movement of the crowd adequately. To obtain a generalized crowd escape event detector, we adopt an adaptive threshold according to the Direction-Collectiveness index. Experiments conducted on two widely used datasets demonstrate that the proposed model can detect the escape events more effectively from dense crowd.

Long-term Surveillance Comparing Satisfaction between the Early Experience of Nuss Procedure vs. Ravitch Procedure

  • Kang, Chang Hyun;Park, Samina;Park, In Kyu;Kim, Young Tae;Kim, Joo Hyun
    • Journal of Chest Surgery
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    • v.45 no.5
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    • pp.308-315
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    • 2012
  • Background: Long-term surveillance comparing satisfaction between the early experience of Nuss procedure vs. Ravitch procedure. Materials and Methods: A total of 100 patients that underwent surgical correction of a pectus excavatum between 2001 and 2004 and were followed for ${\geq}2$ years were included. Surveillance on the degree of satisfaction was performed using five-levels of the Likert scale and self-assessment scoring. Results: Nuss or Ravitch surgery was performed in 63 and 37 patients, respectively. The Nuss procedure required a shorter operation time and shorter hospital stay than the Ravitch procedure (p<0.001). The surveillance demonstrated that 17.6% of the Nuss group and 35.7% of the Ravitch group were not satisfied with the outcome of the surgery (p=0.072). The most common causes of dissatisfaction were redepression in the Nuss group (n=5) and incomplete correction in the Ravitch group (n=7). The multivariate analysis showed that reoperation and a high postoperative pectus index were significant risk factors for a low satisfaction score. Conclusion: The Nuss procedure had several advantages over the Ravitch procedure in the immediate postoperative period. However, the long-term satisfaction was determined by a complete correction without recurrence or need for re-intervention rather than by the operation type.