• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1544-1546
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• 2013

도시철도는 대표적인 대중교통으로써, 하루에도 수백만명의 승객들이 이용하고 있다. 따라서 도시철도를 이용하는 승객들의 안전이 보장되어야 하며, 안전한 서비스 제공 및 예방 노력이 제반되어야 한다. 이를 위해 설치된 폐쇄회로 CCTV와 상황실은 넓은 구역내의 모든 위험상황을 감지하고 대응하기에 미흡하다. 따라서 이러한 영상감시의 미흡한 점을 보완하여 기설치된 CCTV를 통해 위험구역내 보행자를 자동으로 인지하여 큰 사고를 미연에 방지하고자 역사내 지능형 영상감시 시스템을 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.47-49
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• 2007

교통정보수집 시스템이란 CCTV나 웹캠을 통해 얻어진 영상을 토대로 차선별, 혹은 주행방향별 교통량과 통과 차량들의 속도를 실시간으로 측정하는 시스템이다. 차선별로 각각 두 개의 라인을 설정하고 이를 이용하여 차선별 속도와 교통량을 측정한다. 이 때 차선별로 설정된 두 라인에 해당하는 영역에 대해서 배경 값을 지속적으로 갱신한다. CCTV와 웹캠을 이용하여 수집한 영상을 실험에 사용한 결과 평균 86.2%의 차선별 주행차량 검지율을 보였으며, 검지된 차량들을 차선별 방향별로 구분하여 평균 속도를 측정하였다.

• TTA Journal
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• s.165
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• pp.81-88
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• 2016

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.6
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• pp.665-671
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• 2014

Recent researches show that the traffic fatality rate in fog is higher than that in rain and snow. In that sense, methods to measure visibility accurately and to notify the measured visibility information to drivers are required. We thus developed a system for measuring the road visibility in realtime by employing CCTV cameras. In this paper, we also propose a wide-area visibility information system through measuring the visibility of every highway by using the developed system. The proposed wide-area visibility information system uses the video clips from the CCTV camera instead of the output from the expensive fog sensor. Hence, we expect that it can reduce the cost of installation and operation dramatically and the measured visibility information has a number of applications.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.103-113
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• 2019

License plate recognition camera is dedicated device designed for acquiring images of the target vehicle for recognizing letters and numbers in a license plate. Mostly, it is used as a part of the system combined with server and image analysis module rather than as a single use. However, building a system for vehicle license plate recognition is costly because it is required to construct a facility with a server providing the management and analysis of the captured images and an image analysis module providing the extraction of numbers and characters and recognition of the vehicle's plate. In this study, we would like to develop an embedded type convergent camera (Edge Base) which can expand the function of the camera to not only the license plate recognition but also the security CCTV function together and to perform two functions within the camera. This embedded type convergence camera equipped with a high resolution 4K IP camera for clear image acquisition and fast data transmission extracted license plate area by applying YOLO, a deep learning software for multi object recognition based on open source neural network algorithm and detected number and characters of the plate and verified the detection accuracy and recognition accuracy and confirmed that this camera can perform CCTV security function and vehicle number plate recognition function successfully.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.9
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• pp.1035-1042
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• 2014

Object recognition is one of the key technologies of the monitoring system for the prevention of various intelligent crimes. The height is one of the physical information of a person, and it may be important information for identification of the person. In this paper, a method which can detect pedestrians from CCTV images and estimate the height of the detected objects, is proposed. In this method, GMM (Gaussian Mixture Model) method was used to separate the moving object from the background and the pedestrian was detected using the conditions such as the width-height ratio and the size of the candidate objects. The proposed method was applied to the CCTV video, and the height of the pedestrian at far-distance, middle- distance, near-distance was estimated for the same person, and the accuracy was evaluated. Experimental results showed that the proposed method can estimate the height of the pedestrian as the accuracy of 97% for the short-range, 98% for the medium-range, and more than 97% for the far-range. The image sizes for the same pedestrian are different as the position of him in the image, it is shown that the proposed algorithm can estimate the height of pedestrian for various position effectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.2
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• pp.248-256
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• 2007

Recently, the network Infrastructure grows rapidly and the digital image compression technique has made remarkable progress. Therefore, the demand of the real-time image surveillance system which uses a network camera server has been increasing. Network Camera Server has emerged as an attractive alternative to the CCTV for the wireless video surveillance. In this article, the model of JPEG Streamer for collecting and delivering JPEG image is designed and realized as a key module for the wireless video surveillance system. The thread pool and shared memory have been used to improve the stability and efficiency of the JPEG Streamer. In addition, the concept of double buffering is of much benefit to improve the quality of real-time image. In this article, the wireless video surveillance system by using JPEG Streamer is suggested to send the real-time image through the wireless internet with the personal digital assistance (PDA).

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.617-618
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• 2009

본 논문에서는 SSL/VPN 터널링 기법을 이용하여 CCTV에서 영상정보를 보호하기 위한 SSL 통신 메카니즘을 제안하고, 제안한 방법을 기본으로한 보안 시스템의 설계 및 구축에 관하여 기술한다. 제안한 보안 시스템(VPN client와 Server) 은 Linux System O/S 인 Fedora 8 버전에서 개발하였으며 사용한 라이브러리는 OpenSSL과 PPTP와 PPP를 사용하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.421-424
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• 2014

Currently, car black box, and CCTV products, such as image processing are prevalent on the market giving convenience to users.In particular, the black box of the driver driving a vehicle accident that occurred at the time to help identify the cause of the accident is gaining. Black box, the front or rear of the vehicle can check the image only. Because of the angle of view of the driver's vision or the black box can not determine a non-scene. In order to solve this problem by a more advanced system, the black box AVM (Around-View Monitoring) systems have been developed. AVM system to the vehicle's top-view images obtained before and after, left and right of the image, ie, $360^{\circ}$ image of the vehicle can be secured. AVM system must be installed on the vehicle, a desktop that you can acquire images Cling conditions. In this paper, we propose an Android-based tablet using the AVM system of the vehicle can achieve a $360^{\circ}$ image you want to design the system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.9
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• pp.1082-1087
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• 2019

Video Incident Detection System is a detection system for the purpose of detection of an emergency in an unexpected situation such as a pedestrian in a tunnel, a falling object, a stationary vehicle, a reverse run, and a fire(smoke and flame). In recent years, the importance of the city center has been emphasized by the construction of underpasses in great depth underground space. Therefore, in order to apply Video Incident Detection System to a Double Deck Tunnel, it was developed to reflect the design characteristics of the Double Deck Tunnel. and In this paper especially, the fire detection technology, which is not it is difficult to apply to the Double Deck Tunnel environment because it is not supported on existing Video Incident Detection System or has a fail detect, we propose fire detection using color image analysis, silhouette spread, and statistical properties, It is verified through a real fire test in a double deck tunnel test bed environment.