• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.91-93
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• 2016

From the 2-D image extracting three-dimensional information as the latter is in the bilateral sibeop using two camera method and when using a monocular camera as a very important step generally as "stereo vision". There in today's CCTV and automatic object tracking system used in many medium much to know the site conditions or work developed more clearly by using a stereo camera that mimics the eyes of humans to maximize the efficiency of avoidance / control start and multiple jobs can do. Object tracking system of the existing 2D image will have but can not recognize the distance to the transition could not be recognized by the observer display using a parallax of a stereo image, and the object can be more effectively controlled.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.8
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• pp.1511-1518
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• 2007

As studies on ubiquitous computing are actively conducted, desire for various services, including image transmission storage, search and remote monitoring. has been expanding into mobile environment as well as to PCs. while CCTV (closed circuit TV) and un DVR (Digital video Recording) are used in places where security service such as intrusion detection system is required, these are high-end equipment. So it is not easy for ordinary users or household and small-sized companies to use them. Besides, they are difficult to be carried and camera solution for mobile device does not support high-quality function and provides low-definition of QVGA for picture quality. Therefore, in this study, design and implementation of embedded system of high-definition image transmission for ubiquitous mobile device which is not inferior to PC or DVR are described. To this end, usage of dedicated CPU for mobile device and design and implementation of MPEG-4 H/W CODEC also are examined. The implemented system showed excellent performance in mobile environment, in terms of speed, picture quality.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.243-250
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• 2022

The purpose of this study was to propose technology to detect the wave in the image in real-time, and calculate the height of the wave-overtopping through image analysis using artificial intelligence. It was confirmed that the proposed wave overtopping detection system proposed in this study could detect the occurring of wave overtopping, even in severe weather and at night in real-time. In particular, a filtering algorithm for determining if the wave overtopping event was used, to improve the accuracy of detecting the occurrence of wave overtopping, based on a convolutional neural networks to catch the wave overtopping in CCTV images in real-time. As a result, the accuracy of the wave overtopping detection through AP50 was reviewed as 59.6%, and the speed of the overtaking detection model was 70fps based on GPU, confirming that accuracy and speed are suitable for real-time wave overtopping detection.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.1-9
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• 2022

In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.263-264
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• 2013

본 연구에서는 기존의 홈오토메이션 보안 솔루션에서 더욱 기능이 확장된 보안솔루션 설계 및 구현하였다. 구현된 안드로이드 기반의 애플리케이션은 스마트폰으로 서버와의 통신을 통해 CCTV에서 촬영된 영상을 원격지에서 직접 확인 할 수 있고, 사용자는 사용에 친숙한 안드로이드 애플리케이션을 통해 CCTV의 방향을 제어함으로써 기존의 보안솔루션에 비해 보다 효과적인 보안성을 제공한다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.2190-2191
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• 2011

지능적인 감시 체계에 대한 필요성이 증대됨에 따라 많은 곳에서 지능화된 군중에 대한 모니터링을 요구하고 있다. 이는 비단 철도 분야에 있어 예외가 되지 않으며, 철도 서비스 구간 내에서의 필요성 또한 증대되고 있다. 철도 승강장 내에는 보안 감시에 사용되는 CCTV가 설치되어 있다. 이렇게 설치되어 있는 CCTV를 통해 철도 승강장의 영상 정보를 취득할 수 있으며 이것을 이용하여 군중 밀도 추정에 도움이 될 수 있다. 본 논문에서는 철도 승강장 내 군중 밀도를 군중의 움직임으로부터 발생되는 모션벡터를 검출하여 군중 밀도와 모션 벡터와의 상관관계에 대해 연구하였다.

• Proceedings of the KIEE Conference
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• 2007.10c
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• pp.229-231
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• 2007

The CCTV, closed circuit television, system is the most popular method to monitor some specific area. The CCTV-based monitoring system is composed of a lot of cameras installed the areas, and monitors to display the vision through the cameras. However, these systems have limitations to prevent some problems or to cope with the problems promptly, because they can carry out only the function that shows us the analogue images of the cameras. Especially, urban transit service area is the space where many people crowd in all at the same time and the space is not only wide but also distributed sporadically. This paper presents the efficient plan for video-based monitoring system to monitor urban transit service area. To build the efficient monitoring system, it is necessary to devide the monitoring area to appropriate sectors that should be composed to be displayed at a time. If the proposed method is used to construct the video-based monitoring system, the operating officers in the urban transit have the more direct and real images.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.154-155
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• 2017

울산항 항행안전 및 효율적인 항로표지 관리를 위하여 등대, 등(부)표 등 항로표지시설에 VHF/CDMA RTU 장비를 설치하고 통합모니터링 기능을 제공하는 항로표지 관리운영시스템을 구축하였다. 항로표지 관리운영시스템의 항로표지 상태정보 및 원격제어, 해양기상 신호표지시스템 관리, 비표준 등명기 인터페이스 장치 및 등부표 추돌모니터링과 함께 울산항 항로표지 감시용 영상정보시스템(CCTV) 구축하여 효율적인 항로표지의 원격관리시스템을 운영하고 있다.

• Annual Conference of KIPS
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• 2017.11a
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• pp.1133-1136
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• 2017

폐쇄회로 텔레비전(CCTV, Closed Circuit Television)은 범죄 예방을 위해서 현재 많이 사용되고 있다. 하지만, CCTV의 경우 주로 영상에 기반하기 때문에 사각지대가 존재할 수 있으며 범죄 발생시 즉각적인 대처보다는 후속 조치에 주로 활용된다. 본 논문에서는 이와 같은 문제점을 해결하기 위해 비명을 탐지할 수 있는 치안 향상을 위한 비명 감지 시스템을 설계하고 구현하였다. 제안하는 시스템은 비명을 감지하면 경보음을 제공해주며, 중앙 시스템에 알림을 주어 관리자가 확인하고 즉각적인 대응이 가능할 수 있도록 할 수 있는 기능을 제공한다.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.47-54
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• 2015

To prevent safety hazards in dangerous working area, we have proposed an intelligent image analysis system. Six common patterns of safety violations of workers' are defined and its motion detection algorithms are developed for alarm to CCTV monitoring system. Developed algorithms are implemented at 195 dangerous areas such as chemical and gas treated room. The results of violated motion detection ratio by developed system shows 94.95% of true positive cases, and 0.21% of false positive cases from all 587,645 event cases in one month implementation period. In the period, it is observed that the number of safety rule violations and the following accidents are decreased.