• 한국컴퓨터정보학회논문지
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• 제24권8호
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• pp.19-28
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• 2019

In this paper, an online video summarization algorithm based on multiple object detection is proposed. As crime has been on the rise due to the recent rapid urbanization, the people's appetite for safety has been growing and the installation of surveillance cameras such as a closed-circuit television(CCTV) has been increasing in many cities. However, it takes a lot of time and labor to retrieve and analyze a huge amount of video data from numerous CCTVs. As a result, there is an increasing demand for intelligent video recognition systems that can automatically detect and summarize various events occurring on CCTVs. Video summarization is a method of generating synopsis video of a long time original video so that users can watch it in a short time. The proposed video summarization method can be divided into two stages. The object extraction step detects a specific object in the video and extracts a specific object desired by the user. The video summary step creates a final synopsis video based on the objects extracted in the previous object extraction step. While the existed methods do not consider the interaction between objects from the original video when generating the synopsis video, in the proposed method, new object clustering algorithm can effectively maintain interaction between objects in original video in synopsis video. This paper also proposed an online optimization method that can efficiently summarize the large number of objects appearing in long-time videos. Finally, Experimental results show that the performance of the proposed method is superior to that of the existing video synopsis algorithm.

• 방송공학회논문지
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• 제15권4호
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• pp.563-581
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• 2010

본 논문에서는 초고해상도(UHD: Ultra High Definition) 영상의 방송 서비스를 위한 UHD 영상의 주관적 화질 평가를 수행하고 이에 따른 화질평가 결과를 분석하였다. TV, 인터넷, 개인 미디어 기기들의 보급으로 인해 영상 콘텐츠의 소비가 늘어나고 있으며 이와 더불어 고화질 영상에 대한 수요 또한 증가하고 있다. 현재 HD급($1920{\times}1080$) 영상이 DTV, DVD, 디지털 캠코더, 감시 비디오 및 기타 멀티미디어 기기 등을 통하여 다양한 형태로 소비되고 있으며, 최근에는 이러한 HD 해상도를 넘어 4K-UHD($3840{\times}2160$) 해상도의 디지털 시네마 콘텐츠가 활발히 제작되고 있고, 멀티미디어 시장에서도 이를 지원하는 카메라, 빔 프로젝터, 디스플레이 등의 기기가 출시되기 시작하였으며, 곧 방송${\times}$통신 환경에서도 4K-UHD 비디오 서비스가 출현할 것으로 예상된다. 이에 본 논문에서는 UHD TV 서비스 도입 시에 UHD 비디오의 시청환경 및 신호규격을 결정하는데 도움을 주기 위해 4K-UHD 영상에 대해 공간 해상도, 컬러포맷, 프레임률, 압축률을 포함한 4 가지 항목에 대한 주관적 화질 평가 실험을 수행하였다. 평가 결과, HD 해상도 대비 UHD 해상도의 영상에 대해 더 높은 주관적 화질 평가 결과를 보였으며, 컬러포맷이 YUV444인 4K-UHD 영상이 YUV422, YUV420인 4K-UHD 영상들 보다 화질이 더 높은 주관적 평가를 받았고, YUV422와 YUV420 4K-UHD 영상 간의 화질 비교에서는 주관적 평가 차이는 미미한 것으로 나타났다. 프레임률에 있어서는 60fps의 4K-UHD 영상이 30fps의 4K-UHD 영상보다 움직임이 많은 영상일수록 더 높은 주관적 화질 평가 결과를 보였으며, HD 영상에 대한 비트심도 비교에서는 10bit인 영상과 8bit인 영상 간의 주관적 화질 평가차이는 매우 작은 것으로 나타났다. 마지막으로 복${\times}$부호화된 4K-UHD 영상의 PSNR이 높을수록 높은 주관적 화질평가를 받았으며 시청거리가 멀어질수록 부호화에 의한 화질 열화를 인지하는 능력이 떨어지면서 PSNR이 낮은 영상도 화질이 양호한 것으로 평가되는 경향이 있었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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• pp.113-115
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• 2005

This thesis presents a method for 3D modeling of facial expression from frontal and mirror-reflected multi-image. Since the proposed system uses only one camera, two mirrors, and simple mirror's property, it is robust, accurate and inexpensive. In addition, we can avoid the problem of synchronization between data among different cameras. Mirrors located near one's cheeks can reflect the side views of markers on one's face. To optimize our system, we must select feature points of face intimately associated with human's emotions. Therefore we refer to the FDP (Facial Definition Parameters) and FAP (Facial Animation Parameters) defined by MPEG-4 SNHC (Synlhetic/Natural Hybrid Coding). We put colorful dot markers on selected feature points of face to detect movement of facial deformation when subject makes variety expressions. Before computing the 3D coordinates of extracted facial feature points, we properly grouped these points according to relative part. This makes our matching process automatically. We experiment on about twenty koreans the subject of our experiment in their late twenties and early thirties. Finally, we verify the performance of the proposed method tv simulating an animation of 3D facial expression.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1560-1565
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• 2007

A surveillance system is used many industrial places, and public places to monitor the present situation. Most of the existing surveillance system is composed of the monitors and a lot of cameras that are installed each place to be monitored. The system is usually using the CCTV, closed circuit television, system that is a passive surveillance system. Urban transit operation corporations use the passive surveillance system to monitor the situation of the passengers, and the status of the important facilities. However the officers or operators cannot monitor all of the situation or status constantly, and cannot respond to emergency. In this paper, we propose a sensor network-based intelligent surveillance system to solve these problems. The proposed system is composed of a lot of intelligent sensors that can determine the present status and integrated processor units to detect more precisely events using the information from the sensors. The sensors and the integrated processor are connected by communication network. The proposed system can be installed and used without a lot of change of the existing facilities such as the enormous communication bandwidth increase.

• 시큐리티연구
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• 제51호
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• pp.199-219
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• 2017

이 연구는 초등학교 주변에 설치된 방범용CCTV가 범죄를 감소하는 효과가 있는지를 검증하였다. 이를 위해 춘천시에 설치된 9개의 방범용CCTV의 위치와 종류에 관한 데이터 및 춘천시의 범죄데이터가 수집되었다. 분석단위로 월 단위가 사용되었으며, 날짜, 월평균 온도, 범죄 추이를 통제한 후 포아송 회귀분석을 이용하여 분석하였다. 분석결과는 초등학교 주변에 설치된 방범용CCTV로 인해 전체범죄와 중범죄가 감소하였음을 보여주었다. 그러나 경범죄에서는 그러한 결과가 나타나지 않았다. 본 연구는 방범용CCTV가 초등학교 인근에 설치되었을 때 중범죄율과 전체범죄율을 낮추는 데 도움을 줄 수 있음을 시사한다.

• Applied Microscopy
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• 제39권1호
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• pp.79-83
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• 2009

We report a useful method to estimate the electron dose rate which may be a decisive factor to characterize sample properties. Even though most mircoscopes have their own exposure meters, there are several practical concerns when such exposure meters are used to measure the electron dose rate: 1) Specimen should be avoided within the entire area of exposure meter; 2) beam current has to be always recorded whenever the operation mode is changed; 3) the electron dose rate can not be calculated for the beam current beyond the detectable range. To overcome these limitations, we suggest a useful method which utilize a CCD (charge coupled device) camera which is now a popular detector to obtain the final electron micrographs. We have evaluated the CCD sensitivity using the linear relationship between electron current on the exposure meter and counter ratio on the CCD camera which are built in KBSI-HVEM (high voltage electron microscope). Applying the new method, we obtained the CCD sensitivity which are approximately 0.039 counts/$e^-$ and 1.37 counts/$e^-$ for the Top-TV and the HV-GIF CCD cameras, respectively.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.99-100
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• 2007

Rapid developments of industry and economics have made a metropolis which demands an effective urban transport management system (UTMS). Specially, this paper considers a subway surveillance system based on integrated wireless LAN technologies for public safety. Since a current subway platform security entirely relies on conventional closed circuit television camera (CCTV) or human operators, subway train drivers cannot detect platform states and cope with abnormal situations or accidents immediately. However, through the IP cameras and some wireless routers, high qualify images of the platform conditions can be directly delivered to the train drivers and other station employees in advance of train entering the platform. In this paper, several design issues and problems are discussed when building up the subway management system. Further, we illustrate a system model with the system requirements in real parametric values in order to draw concrete system designs and to realize a practical implementation of the future UTMS.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1178-1183
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• 2021

Based on the camera movement on image expression and grammar, this study intended to analyze the characteristics of image expression filmed and broadcasted by drones. This study analyzed drone images using the movement characteristics of existing video cameras as a coding nomenclature. These were intended to examine the differences from existing video grammar and their implications. This study conducted a content analysis using the entire population of drone news footage broadcast for four years in 2015, 2016, 2017 and 2018 by TV Chosun. The size of the screen, camera work, duration of the shot, camera angle, etc. were selected and analyzed. As a result, the drone camera work showed that it uses the most dolly shots in the case of camera movement, followed by the drone camera movement in the order of pan and tilt shots. For zoom, the frequency of use was the smallest. In addition, this study analyzed the size of the screen, duration of the shot, and camera angle of drone. Analysis shows that drones use certain camera movements most frequently, and unlike grandiose modifiers such as "extension of human gaze," drone remains as a supplementary means to enhance the traditional media expression.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• 한국도로학회논문집
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• 제10권2호
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• pp.159-166
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• 2008

최근 교통감시시스템은 실시간의 영상검지시스템(VIPS)을 가장 선호하고 있으며, 그 수요는 매년 증가하고 있는 추세이다. 일반적으로 영상검지시스템은 공간기반의 검지알고리즘을 사용하고 있으며, 교통량, 속도, 점유율 등의 교통정보를 제공하고 있다. 현재 전 세계적으로 이미 상용화되어 있는 대부분의 영상검지시스템들은 Tripwire기반의 검지영역 내 차량의 존재유무를 판단하여 교통정보를 수집하는 알고리즘으로 구성되어 있으나, 개별차량에 대한 걸지는 불가능한 한계를 갖고 있다. 반면 개벽차량의 추적시스템은 보다 구체적인 공간적 교통정보를 제공할 수 있어 사고검지, 급차선 변경 등 교통정보를 보다 다양화 할 수 있다는 장점이 있으나 추적길이가 불과 100미터이내이면, 그 이상 관측하기 위해서는 운영자가 카메라를 줌인을 하여 영상을 확대하여야 한다. 따라서 본 논문에서는 차량 추적의 효과를 높이기 위해서 기존의 100미터 이내 추적거리를 여러 대의 CCTV시스템을 이용하더라도 200미터이상으로 확대함으로써 사고 또는 비정상적 차량흐름을 검지할 수 있는 알고리즘을 제안한다.