• Title/Summary/Keyword: CCTV monitoring

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A Study on the Smart Care System Using Real-time Object Tracking Technology (실시간 객체 추적 기술을 활용한 스마트 케어 시스템에 대한 연구)

  • Kim, HyeJeong;Kang, MinGu;Lee, HyeGyu;Ko, Dongbeom;Kim, JeongJoon;Park, Jeongmin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.243-250
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    • 2018
  • This paper designs and implements a smart care system for the senior citizen who lives alone. Recently, as the level of living has increased due to the rapid improvement of medicine, living standard and environment, the proportion of the elderly population is increasing. In addition, the proportion of the elderly living alone, which is increasing with the aging society, suggests that the provision of services such as the elder care system and emergency notification is becoming an important issue. However, since the existing emergency notification technology analyzes fixed CCTV images, it is difficult to monitor in the blind spot of CCTV and to move to a place where the camera is not installed. There is a problem that it can not be performed. Therefore, in this paper, we design and develop a smart care system that utilizes robot and object tracking technology that can move in real time to overcome these shortcomings. This enables real-time monitoring regardless of the location, and prompts for assistance in case of an emergency, so that it can provide convenience to cares and assistants.

A Study on U-Service for Security in U-City Newtown Planning (신도시계획의 계획지표를 반영한 U-City의 U-방범서비스 개선방안 연구)

  • Yoon, Hyo Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5D
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    • pp.645-654
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    • 2009
  • This study started with necessity of historical spatial planning skills in U-city planning. Though U-city technology and information are very important, U-city development should be considered on the base of various experience of spatial planning. This study explored spatial planning indexes change in the recent newtown plans. In particular, safety and security were intensively analyzed. In addition, many theories on safe urban space, ubiquitous technology, traditional defensible space, and CPTED (Crime Prevention through Environmental Design) are compared. The findings are as follows. First, each planning is not integrated and there is lack of network among each planning. Specifically, from the crime prevention perspective, there is only mechanical monitoring such as CCTV without architectural approach. Even though CCTV is social needs, it is necessary to adopt it with architectural environment in order to improve the synergy effect of spatial planning and non-spatial planning.

Implementation of a Monitoring System Using a CW Doppler Radar (CW 도플러 레이더를 이용한 모니터링 시스템 구현)

  • Shin, Hyun-Jun;Han, Byung-Hun;Choi, Doo-Hyun;Oh, Chang-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2911-2916
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    • 2015
  • The CCTV is limited by weather conditions. To overcome this limitation, we develop a monitoring program that can sense the approach or recede of two or more objects within a surveillance system that uses a continuous-wave (CW) Doppler radar, and we proposed an algorithm to efficiently detect the approach or recede information of the object. The proposed algorithm separates the signal received by the CW Doppler radar into the real and imaginary parts using Fast Fourier Transform (FFT), and sums the amplitudes for each frequency to determine whether the objects are approaching or receding, using their locations. The algorithm is verified by simulations and experiments, which confirms that it successfully detects the approach or recede of two objects.

Development of Motion Recognition and Real-time Positioning Technology for Radiotherapy Patients Using Depth Camera and YOLOAddSeg Algorithm (뎁스카메라와 YOLOAddSeg 알고리즘을 이용한 방사선치료환자 미세동작인식 및 실시간 위치보정기술 개발)

  • Ki Yong Park;Gyu Ha Ryu
    • Journal of Biomedical Engineering Research
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    • v.44 no.2
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    • pp.125-138
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    • 2023
  • The development of AI systems for radiation therapy is important to improve the accuracy, effectiveness, and safety of cancer treatment. The current system has the disadvantage of monitoring patients using CCTV, which can cause errors and mistakes in the treatment process, which can lead to misalignment of radiation. Developed the PMRP system, an AI automation system that uses depth cameras to measure patient's fine movements, segment patient's body into parts, align Z values of depth cameras with Z values, and transmit measured feedback to positioning devices in real time, monitoring errors and treatments. The need for such a system began because the CCTV visual monitoring system could not detect fine movements, Z-direction movements, and body part movements, hindering improvement of radiation therapy performance and increasing the risk of side effects in normal tissues. This study could provide the development of a field of radiotherapy that lags in many parts of the world, along with the economic and social importance of developing an independent platform for radiotherapy devices. This study verified its effectiveness and efficiency with data through phantom experiments, and future studies aim to help improve treatment performance by improving the posture correction mechanism and correcting left and right up and down movements in real time.

Patient Setup Aid with Wireless CCTV System in Radiation Therapy (무선 CCTV 시스템을 이용한 환자 고정 보조기술의 개발)

  • Park, Yang-Kyun;Ha, Sung-Whan;Ye, Sung-Joon;Cho, Woong;Park, Jong-Min;Park, Suk-Won;Huh, Soon-Nyung
    • Radiation Oncology Journal
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    • v.24 no.4
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    • pp.300-308
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    • 2006
  • $\underline{Purpose}$: To develop a wireless CCTV system in semi-beam's eye view (BEV) to monitor daily patient setup in radiation therapy. $\underline{Materials\;and\;Methods}$: In order to get patient images in semi-BEV, CCTV cameras are installed in a custom-made acrylic applicator below the treatment head of a linear accelerator. The images from the cameras are transmitted via radio frequency signal (${\sim}2.4\;GHz$ and 10 mW RF output). An expected problem with this system is radio frequency interference, which is solved utilizing RF shielding with Cu foils and median filtering software. The images are analyzed by our custom-made software. In the software, three anatomical landmarks in the patient surface are indicated by a user, then automatically the 3 dimensional structures are obtained and registered by utilizing a localization procedure consisting mainly of stereo matching algorithm and Gauss-Newton optimization. This algorithm is applied to phantom images to investigate the setup accuracy. Respiratory gating system is also researched with real-time image processing. A line-laser marker projected on a patient's surface is extracted by binary image processing and the breath pattern is calculated and displayed in real-time. $\underline{Results}$: More than 80% of the camera noises from the linear accelerator are eliminated by wrapping the camera with copper foils. The accuracy of the localization procedure is found to be on the order of $1.5{\pm}0.7\;mm$ with a point phantom and sub-millimeters and degrees with a custom-made head/neck phantom. With line-laser marker, real-time respiratory monitoring is possible in the delay time of ${\sim}0.17\;sec$. $\underline{Conclusion}$: The wireless CCTV camera system is the novel tool which can monitor daily patient setups. The feasibility of respiratory gating system with the wireless CCTV is hopeful.

Image processing technology in urban transit system (도시철도 시스템에서 화상처리기술 역사 적용방안)

  • Oh Seh-Chan;Park Sung-Hyuk;Yeo Min-Woo
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.915-920
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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 fall off from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and various camera sensors. The objective of this work is to propose technical and system requirements for establishing intelligent monitoring system using camera equipments in urban transit system. We suppose the system is to determine automatically and in real-time whether anyone or anything is in monitoring area. To achieve the goal, we analyze recent image processing technologies for detection and recognition, and suggest possible direction of system development for applying urban transit system. According to the results, we expect the proposed system requirements will playa key role for establishing highly intelligent monitoring system in railway.

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Research to improve the performance of self localization of mobile robot utilizing video information of CCTV (CCTV 영상 정보를 활용한 이동 로봇의 자기 위치 추정 성능 향상을 위한 연구)

  • Park, Jong-Ho;Jeon, Young-Pil;Ryu, Ji-Hyoung;Yu, Dong-Hyun;Chong, Kil-To
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6420-6426
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    • 2013
  • The indoor areas for the commercial use of automatic monitoring systems of mobile robot localization improves the cognitive abilities and the needs of the environment with this emerging and existing mobile robot localization, and object recognition methods commonly around its great sensor are leveraged. On the other hand, there is a difficulty with a problem-solving self-location estimation in indoor mobile robots using only the sensors of the robot. Therefore, in this paper, a self-position estimation method for an enhanced and effective mobile robot is proposed using a marker and CCTV video that is already installed in the building. In particular, after recognizing a square mobile robot and the object from the input image, and the vertices were confirmed, the feature points of the marker were found, and marker recognition was then performed. First, a self-position estimation of the mobile robot was performed according to the relationship of the image marker and a coordinate transformation was performed. In particular, the estimation was converted to an absolute coordinate value based on CCTV information, such as robots and obstacles. The study results can be used to make a convenient self-position estimation of the robot in the indoor areas to verify the self-position estimation method of the mobile robot. In addition, experimental operation was performed based on the actual robot system.

RealTime Personal Video Image Protection on CCTV System using Intelligent IP Camera (지능형 IP 카메라를 이용한 CCTV 시스템에서의 실시간 개인 영상정보 보호)

  • HWANG, GIJIN;PARK, JAEPYO;YANG, SEUNGMIN
    • 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.

Panorama Image Processing for Condition Monitoring with Thermography in Power Plant (공업플랜트의 상태감시를 위한 열화상 파노라마 이미지 처리기법 연구)

  • Jeon, Byoung-Joon;Kim, Tae-Hwan;Kim, Soon-Geol;Mo, Yoon-Syub;Kim, Won-Tae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.30 no.2
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    • pp.98-103
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    • 2010
  • In this paper, imaging processing study obtained from CCD image and thermography image was performed in order to treat easily thermographic data without any risks of personnels who conduct the condition monitoring for the abnormal or failure status occurrable in industrial power plants. This imaging processing is also applicable to the predictive maintenance. For confirming the broad monitoring, a methodology producting single image from the panorama technique was developed no matter how many cameras are employed, including fusion method for discrete configuration for the target. As results, image fusion from quick realtime processing was obtained and it was possible to save time to track the location monitoring in matching the images between CCTV and thermography.