• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.337-339
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• 2005

The demand for a real-time image surveillance system using network camera server is increasing as the network infra has been grown and digital video compression techniques have been developed. The image surveillance system using network camera server has several merits compared to existing real-time image surveillance system using CCTV. It would be more convenient if wireless realtime image transmission were possible. In this paper, a bluetooth module is designed and implemented for a real-time image surveillance system to send and receive informations wirelessly. It may simplify the system development procedures and increase the productivity by low power consumption, low cost, and simple wireless installation. A scatter-net formation is proposed using dynamic and distributed algorithm so that the network connection is reliable.

• 인터넷정보학회논문지
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• 제7권3호
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• pp.107-118
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• 2006

네트워크 인프라의 성장과 디지털 영상압축 기술의 발달로 네트워크 카메라 서버를 이용한 실시간 영상감시 시스템의 수요가 증가하고 있다. 기존의 CCTV를 이용한 실시간 영상감시에 비해 네트워크 카메라 서버를 이용한 영상감시는 많은 이점이 있다. 본 논문에선 실시간 영상감시 시스템의 핵심 모듈로서 JPEG 영상의 수집과 전달을 담당하는 JPEG Streamer의 모델을 제시하고 이를 설계, 구현한다. JPEG Streamer의 안정성과 효율성을 위해서 쓰레드 풀과 공유 메모리를 사용했다. 실시간 영상의 품질을 높이기 위해서 더블 버퍼링의 개념을 도입했다. 이렇게 구현된 JPEG Streamer를 실시간 영상감시 시스템의 개발에 이용함으로써 생산성을 높일 수 있을 뿐 아니라, 신뢰성과 안정성도 확보 할 수 있다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.317-320
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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 clue. We implemented a real-time surveillance system that tracks a moving person using 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.

• 한국인터넷방송통신학회논문지
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• 제14권1호
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• pp.169-177
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• 2014

DVR 및 NVR을 이용한 디지털 저장매체를 영상감시 시스템에서 활용하게 되면서 영상처리 모듈의 개발은 영상 보안 시장의 필수적인 요소이다. 특히 네트워크 카메라의 등장은 기존 아날로그 방식의 CCTV를 대체하면서 영상처리 모듈 개발의 필요성을 더욱 부각시키고 있다. 본 논문에서는 움직임 감지 기법을 이용한 영상 감시 서버를 설계 및 구축하고 서버에서 처리되는 영상처리 결과를 실시간으로 모바일 디바이스에서 확인 가능한 영상감시 시스템을 개발하였다. 영상처리를 위해 리눅스 기반의 서버에 오픈소스 OpenCV를 활용한 영상처리 모듈을 개발하였고, 네트워크 카메라로부터 전송되는 실시간 비디오 데이터를 저장 및 가공하여 안드로이드기반 모바일 기기에서 검색 가능한 영상감시 시스템을 구축하였다.

• 한국정보통신학회논문지
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• 제11권2호
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• pp.248-256
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• 2007

네트워크 인프라의 성장과 디지털 영상압축 기술의 발달로 네트워크 카메라 서버를 이용한 실시간 영상감시 시스템의 수요가 증가함에 따라 가정이나 소규모 사무실에 적합한 실용화 수준의 보안 시스템에 대한 요구도 함께 증대되고 있다. 기존의 CCTV를 이용한 실시간 영상감시에 비해 네트워크 카메라 서버를 이용한 영상감시는 많은 이점이 있다. 본 논문에선 실시간 영상감시 시스템의 핵심 모듈로서 JPEG 영상의 수집과 전달을 담당하는 JPEG Streamer의 모델을 설계, 구현하며 JPEG Streamer의 안정성과 효율성을 위해서 쓰레드 풀과 공유메모리를 사용하고 실시간 영상의 품질을 높이기 위해서 더블버퍼링의 개념도 도입하였다. 또한 제시된 Streamer의 모델을 이용하여 개인 휴대단말기(PDA)로 무선 인터넷을 통해 실시간 영상을 전송하는 무선 영상 감시시스템을 제시한다.

• 한국안전학회지
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• 제12권3호
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• pp.60-66
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• 1997

In this paper, a moving object surveillance system, which can extract moving object in real-time, using image subtraction method is described. This technique based on the novelty filter having the structure of neural network associative memory. Digital arithmetic and timing control parts were composed of hardwired controller to treat two-dimensional massive image information. SRAMS having 20 ns access time were used for the image buffer that has high speed write/read property. Image extraction algorithm is discussed and supported by simulation and experiments.

• 한국정밀공학회지
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• 제21권3호
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• pp.74-82
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• 2004

This paper proposes a fast zooming and focusing technique for implementing a real-time surveillance camera system which can capture a face image in less than 1 second. It determines the positions of zooming and focusing lenses using two-step algorithm. In the first step, it moves the zooming and focusing lenses simultaneously to the positions calculated using the lens equations for achieving the predetermined magnification. In the second step the focusing lens is adjusted so that it is positioned at the place where the focus measure is the maximum. The camera system implemented for the experiments has shown that the proposed algorithm spends about 0.56 second on average fur obtaining a focused image.

• 한국항해항만학회지
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• 제31권9호
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• pp.779-784
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• 2007

This paper describes a new progressive embedded Internet Protocol(IP) camera available for real-time image transmission. It was applied for ship safety and security on seashore area. The functions of developed embedded system was more effective and excellent than conventional systems. Nowadays, each nation has established harbor security systems to jump up their ports to international port. Recently Incheon port has tried to change man security into center security system used by image security system. The security system of Incheon port has some advantages like effectivity of security system and reduction of manpower and cost, installed by image security system with CCTV cameras at the entrance gate and around the fence. Thus in this paper, we have designed and implemented a Personal Digital Assistants(PDA) based Image Surveillance System for Harbor Security using IP Camera under ubiquitous environment. This system has big advantages which are more effective in an emergency and low cost and small manpower than conventional systems.

• 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.

• 대한임베디드공학회논문지
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• 제9권6호
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• pp.345-351
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• 2014

This paper presents pedestrian recognition to improve performance for vehicle safety system or surveillance system. Pedestrian detection method using HOG (Histograms of Oriented Gradients) has showed 90% recognition rate. But if someone takes a picture in the rain, the image may be distorted by rain streaks and recognition rate goes down by 62%. To solve this problem, we applied image decomposition method using MCA (Morphological Component Analysis). In this case, rain removal method improves recognition rate from 62% to 70%. However, it is difficult to apply conventional image decomposition method using MCA on vehicle safety system or surveillance system as conventional method is too slow for real-time system. To alleviate this issue, we propose a rain removal method by using low-pass filter and DCT (Discrete Cosine Transform). The DCT helps separate the image into rain components. The image is removed rain components by Butterworth filtering. Experimental results show that our method achieved 90% of recognition rate. In addition, the proposed method had accelerated processing time to 17.8ms which is acceptable for real-time system.