• International journal of advanced smart convergence
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• 제10권2호
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• pp.45-52
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• 2021

The surveillance camera market has developed and plays an important role in the field of video surveillance. However, in recent years, the identification of areas requiring surveillance has been limited by reflective light in the surveillance camera market. Cameras using polarization filters are being developed to reduce reflective light and facilitate identification. Programs are required to automatically adjust polarization filters. In this paper, we proposed an optimal angle extraction method from surveillance cameras using polarization filters through histogram analysis. First of all, transformed to grayscale to analyze the specifications of frames in multiple polarized angle images, reducing computational throughput. Then we generated and analyzed a histogram of the corresponding frame to extract the angle when the highlights are the fewest. Experiments with 0˚ and 90˚ showed high performance in extracting optimal angles. At this point, it is hoped this technology would be used for surveillance cameras in place like beach with a lot of reflective light.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 가을 학술논문 발표대회
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• pp.55-56
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• 2020

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.628-631
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• 2003

In this paper, we present real-time, accurate face region detection and tracking technique for an intelligent surveillance system. It is very important to obtain the high-resolution images, which enables accurate identification of an object-of-interest. Conventional surveillance or security systems, however, usually provide poor image quality because they use one or more fixed cameras and keep recording scenes without any cine. We implemented a real-time surveillance system that tracks a moving person using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction. Color information in the ROI is updated to extract features for optimal tracking and zooming. The experiment with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.120-123
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• 2020

The surveillance system to prevent crime and accidents in advance has become a necessity, not an option in real life. Not only public institutions but also individuals are installing surveillance cameras to protect their property and privacy. However, since the installed surveillance camera cannot be monitored for 24 hours, the focus is on the technology that tracks the video after an accident occurs rather than prevention. In this paper, we propose a system model that monitors abnormal behaviors that may cause crimes through real-time video, and when a specific behavior occurs, the surveillance system automatically detects it and responds immediately through an alarm. We are a model that analyzes real-time images from surveillance cameras and uses I3D models from analysis servers to analyze abnormal behavior and deliver notifications to web servers and then to clients. If the system is implemented with the proposed model, immediate response can be expected when a crime occurs.

• 아태비즈니스연구
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• 제14권4호
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• pp.49-65
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• 2023

Purpose - In the Korean and Chinese social landscape, it is vital to appreciate the significance of the Japanese history problem. The current study investigated whether the perception of the Japanese history problem affects decisions regarding technology adoption in organizations by comparing South Korea and China. Design/methodology/approach - The study involved 305 Korean and 379 Chinese participants who responded to scenarios and surveys regarding the adoption of workplace surveillance cameras supplied by a Japanese company. Findings - Using a moderated mediation model based on protection motivation theory (PMT), we found that past experiences of privacy invasion significantly reduced trust in the adoption of surveillance cameras at work. This relationship was mediated by respondents' perceptions of security vulnerability. The current study, however, did not confirm any significant moderating effect of the Japanese history problem priming on trust in the adoption of workplace surveillance cameras. Research implications - This suggests that the Japanese history problem may have a limited impact on organizational technology adoption decisions, different from the political consumerism behavior driven by public anti-Japanese affectivity. The current study reaffirms the validity and applicability of PMT and provides both theoretical insights and practical recommendations.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1187-1188
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• 2007

Most of the surveillance systems are based on CCTV, closed circuit Television. A surveillance system for urban transit is also based on CCTV. Urban transit operation corporations have a CCTV system and a lot of cameras to monitor the situation for the passengers, and the important facilities. But this system has some problems that it cannot respond to a state of emergency immediately. In this paper, we describe a configuration of an intelligent surveillance system for urban transit to solve that problems. Our proposed configuration include a camera with some intelligent module, and a processor to integrate various data from not only cameras, but also sensors such as a temperature sensor, a heat sensor, sound sensor and etc. and some other data generator. This system configuration can decide the state of the passengers and the facilities. The surveillance system with this configuration can available with the existing surveillance system without a considerable improvement.

• Journal of Information Processing Systems
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• 제15권2호
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• pp.344-358
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• 2019

Surveillance cameras have installed in many places because security and safety is becoming important in modern society. Through surveillance cameras installed, we can deal with troubles and prevent accidents. However, watching surveillance videos and judging the accidental situations is very labor-intensive. So now, the need for research to analyze surveillance videos is growing. This study proposes an algorithm to track multiple persons using SURF and background subtraction. While the SURF algorithm, as a person-tracking algorithm, is robust to scaling, rotating and different viewpoints, SURF makes tracking errors with sudden changes in videos. To resolve such tracking errors, we combined SURF with a background subtraction algorithm and showed that the proposed approach increased the tracking accuracy. In addition, the background subtraction algorithm can detect persons in videos, and SURF can initialize tracking targets with these detected persons, and thus the proposed algorithm can automatically detect the enter/exit of persons.

• Smart Structures and Systems
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• 제25권5호
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• pp.531-541
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• 2020

This paper demonstrates the possibility of evaluating the safety of a building right after an earthquake using consumer-grade surveillance cameras installed in the building. Two cameras are used in each story to extract the time history of interstory drift during the earthquake based on camera calibration, stereo triangulation, and image template matching techniques. The interstory drift of several markers on the rigid floor are used to estimate the motion of the geometric center using the least square approach, then the horizontal interstory drift of any location on the floor can be estimated. A shaking table collapse test of a steel building was conducted to verify the proposed approach. The results indicate that the accuracy of the interstory drift measured by the cameras is high enough to estimate the damage state of the building based on the fragility curve of the interstory drift ratio. On the other hand, the interstory drift measured by an accelerometer tends to underestimate the damage state when residual interstory drift occurs because the low frequency content of the displacement signal is eliminated when high-pass filtering is employed for baseline correction.

• 전기전자학회논문지
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• 제17권2호
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• pp.104-110
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• 2013

본 논문에서는 다양한 CCTV 카메라를 지원하는 스마트 케어 관제 시스템을 소개한다. 위급 상황 발생 시 신고자의 상황을 실시간으로 관찰하기 위하여 서버에서는 신고자의 위치 좌표를 기반으로 CCTV 카메라의 팬, 틸트, 줌 제어를 자동으로 수행한다. 또한 신고자를 찾아 촬영하며 영상처리 및 갱신되는 위치 정보를 이용하여 신고자를 추적한다. 다양한 CCTV 카메라를 지원하기 위하여 Genetec 개발 툴을 이용하여 관제 시스템을 구현한다. 스마트 케어 관제 시스템을 이용하여 신고자의 위급 상황에 대하여 구조자는 신고자의 CCTV 영상을 빠르게 제어하고 감시할 수 있기 때문에 구조 작업의 효율이 개선될 수 있다.

• 한국터널지하공간학회 논문집
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• 제19권5호
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• pp.813-827
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• 2017

터널 내의 CCTV 영상은 동적으로 변화하는 요소들에 의해 영향을 받는 다양한 영상들을 촬영한다. 또한, 카메라의 상태 또한 관리 및 배치가 쉽지 않아 터널 내부 환경 변화에 따라 영상이 달라지는 경향이 있다. 본 논문에서는 터널 내에 설치된 CCTV 카메라 영상을 이용해 차량을 탐지하고 그 차량을 지속적으로 추적하는 새로운 방법을 소개한다. 터널 내 CCTV 카메라 영상은 모션블러 효과와 먼지로 인한 렌즈 흐려짐 효과로 인해 바로 차량을 탐지할 수 없다는 문제점이 있다. 본 논문에서는 이를 극복하기 위해 차영상/비-최대 억제 기법과 Haar Cascade 기법 등에 대한 효과 검토 실험을 제안하고 수행하였다. 본 논문에서 제안하는 방법을 통해 터널 내에 설치된 CCTV에서 차량의 탐지와 추적을 효과적으로 수행할 수 있으며 다양한 터널 유고상황을 자동으로 파악하기 위한 중요 정보를 확보할 수 있었다.