• Title/Summary/Keyword: 지능형 CCTV

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An Introduction of Intelligent Transport Systems for Ulsan Metropolitan City (울산광역시 지능형교통체계 개요)

  • Kim Young Woo;Heo Wan Chul;Jo Gwang Yeon;Han Jeong Hang;Na Won Gyeong
    • 한국ITS학회지
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    • v.1 no.1
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    • pp.69-73
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    • 2003
  • A transportation problem is a serious theme to be solved urgently in the motor era of 20 million vehicles. Recently ITS has been introduced to optimize the efficiency of the current roads, because a excess budget and a long term construction are necessary to build new roads. In this paper an outline and major systems of ITS for Ulsan metropolitan city are presented.

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The Design of Object-of-Interest Extraction System Utilizing Metadata Filtering from Moving Object (이동객체의 메타데이터 필터링을 이용한 관심객체 추출 시스템 설계)

  • Kim, Taewoo;Kim, Hyungheon;Kim, Pyeongkang
    • Journal of KIISE
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    • v.43 no.12
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    • pp.1351-1355
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    • 2016
  • The number of CCTV units is rapidly increasing annually, and the demand for intelligent video-analytics system is also increasing continuously for the effective monitoring of them. The existing analytics engines, however, require considerable computing resources and cannot provide a sufficient detection accuracy. For this paper, a light analytics engine was employed to analyze video and we collected metadata, such as an object's location and size, and the dwell time from the engine. A further data analysis was then performed to filter out the target of interest; as a result, it was possible to verify that a light engine and the heavy data analytics of the metadata from that engine can reject an enormous amount of environmental noise to extract the target of interest effectively. The result of this research is expected to contribute to the development of active intelligent-monitoring systems for the future.

Design of Image Tracking System Using Location Determination Technology (위치 측위 기술을 이용한 영상 추적 시스템 설계)

  • Kim, Bong-Hyun
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.143-148
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    • 2016
  • There is increasing concern about security as a need for increased safety in the information industry society. However, it does not meet the needs for safety including CCTV. Therefore, in this paper, we link the processing technology using the image information to the IPS system consisting of GPS and Beacon. It designed a conventional RFID tag attached discomfort and image tracking system is limited to complement the disadvantages identifiable area. To this end, we designed a smart device and the Internet of Things convergence system and a research to ensure the accuracy and reliability of the IPS of the access control system. Finally, by leveraging intelligent video information using a PTZ camera, and set the entrant management policies it was carried out to control the situation and control. Also, by designing the integrated video tracking system, an authentication server, visualization systems were designed to establish an efficient technique for analyzing the IPS entrant behavior patterns.

A design and implementation of Intelligent object recognition system in urban railway (도시철도내 지능형 객체인식 시스템 구성 및 설계)

  • Park, Ho-Sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.2
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    • pp.209-214
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    • 2018
  • The subway, which is an urban railway, is the core of public transportation. Urban railways are always exposed to serious problems such as theft, crime and terrorism, as many passengers use them. Especially, due to the nature of urban railway environment, the scope of surveillance is widely dispersed and the range of surveillance target is rapidly increasing. Therefore, it is difficult to perform comprehensive management by passive surveillance like existing CCTV. In this paper, we propose the implementation, design method and object recognition algorithm for intelligent object recognition system in urban railway. The object recognition system that we propose is to analyze the camera images in the history and to recognize the situations where there are objects in the landing area and the waiting area that are not moving for more than a certain time. The proposed algorithm proved its effectiveness by showing detection rate of 100% for Selected area detection, 82% for detection in neglected object, and 94% for motionless object detection, compared with 84.62% object recognition rate using existing Kalman filter.

A Study on the Application of Digital Twin Technology for Container Terminals (컨테이너 터미널의 디지털 트윈 기술 적용에 관한 연구)

  • Choi, Hoon-Do;Yu, Jang-Ho
    • Journal of Navigation and Port Research
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    • v.44 no.6
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    • pp.557-563
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    • 2020
  • Digital Twin Technology is currently being utilized in many industries and logistics seems soon to follow that trend. Currently, technology introduction to container terminals is restrictedly developing. In reviewing the existing literature, it became clear that research on the application of Digital Twin technology for container terminals is deficient. This study fulfilled AHP and IPA analysis causing fields to adjust priority at the container terminal. The result of analysis on the urgent necessity of adjustable fields' detailed elements from Digital Twin Technology, ATC, intelligent CCTV, and container yards, and showed that they were of the highest priority level. Also, VR/AR Equipment, AYT, Smart Container, Automated Container Delivery Facility, Refrigerated/Freezer Container, Wearable Device for Port Maintenance, and Smart Buoy were reviewed in detail. Our group suggests AQC, Berth, AGV, ASC, Apron, and Automated Mooring as potentially useful Digital Twin Technologies. Finally, our research suggests the OSS equipment, intermodal linkage facility, intelligent drone, and hazardous material storage are areas of low priority.

Highway Incident Detection and Classification Algorithms using Multi-Channel CCTV (다채널 CCTV를 이용한 고속도로 돌발상황 검지 및 분류 알고리즘)

  • Jang, Hyeok;Hwang, Tae-Hyun;Yang, Hun-Jun;Jeong, Dong-Seok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.23-29
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    • 2014
  • The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.

Implementation of smart security CCTV system based on wireless sensor networks and GPS data (무선 센서 네트워크와 GPS정보를 이용한 스마트 보안 CCTV 시스템 구현)

  • Yoon, Kyung-Hyo;Park, Jin-Hong;Kim, Jungjoon;Seo, Dae-Hwa
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.8
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    • pp.918-931
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    • 2013
  • The conventional object tracking techniques using PTZ camera detects object movements by analyzing acquired image. However, this technique requires expensive hardware devices to perform a complex image processing. And it is occasionally hard to detect object movements, if an acquired image is low quality or image acquisition is impossible. In this paper, we proposes a smart security CCTV system applying to wireless sensor network technique based on IEEE 802.15.4 standard to overcome the problems of conventional object tracking technique, which enables to track suspicious objects by detecting object movements and GPS data in sensor node. This system enables an efficient control of PTZ camera to observe a wide area, decreasing image processing complexity. Also, wireless sensor network is implemented using mesh networks to increase the efficiency of installing sensor node.

Development of a CCTV Based Smart Safety Management System in Thermal Power Plants (석탄발전산업을 위한 지능형 CCTV 기반 스마트안전관리시스템 개발 연구)

  • Song, Ho Jun;Gao, Jianxi;Shin, Wan Seon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.50-63
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    • 2021
  • There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

Application of Police Video Equipment for Fighting Crime and Legal Trends (범죄 대응을 위한 경찰 영상장비의 활용과 법 동향)

  • Lee, Hoon;Lee, Won-Sang
    • Informatization Policy
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    • v.25 no.2
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    • pp.3-19
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    • 2018
  • With the introduction of video cameras into law enforcement, a great deal of police organizations have adopted the technology in their routine crime prevention activities. The up-to-date systems of ambient surveillance energized by CCTV, police wearable cameras, drones, and thermal imaging devices enable the police to thoroughly monitor public spaces as well as to rigorously arrest on-scene criminals. These efforts to improve the level of surveillance are often met with public resistance raising concerns over citizens' rights to privacy. Recent studies on the use of police video equipment have constantly raised the issues related to the lack of applicable legal provisions, risk of personal information and privacy infringement as well as security vulnerabilities. In this regard, the present study attempted to review the public surveillance methods currently used by law enforcement agencies worldwide within the context of public safety and individual rights to privacy. Furthermore, the present study also discussed the legal boundaries of police use of video equipment to address public concerns over privacy issues.

Hardware Design of Patch-based Airlight Estimation Algorithm (패치 기반 대기강도 추정 알고리즘의 하드웨어 설계)

  • Ngo, Dat;Lee, Seungmin;Kang, Bongsoon
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.497-501
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    • 2020
  • Dehaze is essential for autonomous driving and intelligent CCTV to operate normally even in foggy weather. The method of airlight estimation is particularly important in dehaze technology. In this paper, we propose a patch-based airlight estimation algorithm and hardware structure that can reduce the amount of unnecessary computation and effectively estimate the airlight in various input images. Proposed algorithm is compared with the popular quad-tree method, and the hardware design is implemented by using XILINX's xc7z045-ffg900 target board as a structure that can satisfy to international standard 4K video in real time.