• ETRI Journal
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• 제32권6호
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• pp.881-890
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• 2010

Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algorithm can be used in parallel with conventional fire detection systems to reduce false alarms. It can also be deployed as a stand-alone system to detect fire by using video frames acquired through a video acquisition device. A novel fire color model is developed in CIE $L^*a^*b^*$ color space to identify fire pixels. The proposed fire color model is tested with ten diverse video sequences including different types of fire. The experimental results are quite encouraging in terms of correctly classifying fire pixels according to color information only. The overall fire detection system's performance is tested over a benchmark fire video database, and its performance is compared with the state-of-the-art fire detection method.

• 대한한의진단학회지
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• 제17권3호
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• pp.233-240
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• 2013

Objectives The objective and universal grading system for the facial nerve palsy is needed to the objectification of treatment in Oriental medicine. In this study, the facial nerve palsy grading was developed with combination of image processing technique and Nottingham scale. Methods The developed system is composed of measurement part, image processing part, facial nerve palsy evaluation part, and display part. With the video data recorded by webcam at measurement part, the positions of marker were measured at image processing part. In evaluation part, Nottingham scales were calculated in four different facial expressions with measured marker position. The video of facial movement, time history of marker position, and Nottingham scale were displayed in display part. Results & Conclusion The developed system was applied to a normal subject and a abnormal subject with facial nerve palsy. The left-right difference of Nottingham scores was large in the abnormal compared with the normal. In normal case, the change of the length between supraorbital point and infraorbital point was larger than that of the length between lateral canthus and angle of mouth. The abnormal case showed an opposite result. The developed system showed the possibilities of the objective and universal grading system for the facial nerve palsy.

• International journal of advanced smart convergence
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• 제1권2호
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• pp.39-42
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• 2012

This paper proposed a method that detects emergency situations in a video stream using MHI (Motion History Image) and template matching for a video-based intelligent security system. The proposed method creates a MHI of each human object through image processing technique such as background removing based on GMM (Gaussian Mixture Model), labeling and accumulating the foreground images, then the obtained MHI is compared with the existing MHI templates for detecting an emergency situation. To evaluate the proposed emergency detection method, a set of experiments on the dataset of video clips captured from a security camera has been conducted. And we successfully detected emergency situations using the proposed method. In addition, the implemented system also provides MMS (Multimedia Message Service) so that a security manager can deal with the emergency situation appropriately.

• 한국콘텐츠학회논문지
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• 제8권2호
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• pp.48-56
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• 2008

본 논문에서는 이미지와 동영상에 대한 UCC 서비스를 쉽게 개발할 수 있는 프로토타입 시스템을 설계하고 구현한다. 제안하는 시스템은 멀티미디어 가공 처리 서브시스템과 메타데이터 관리 서브시스템으로 구성되어 있으며 UCC 서비스 개발자에게 필요한 API를 제공한다. 멀티미디어 가공처리 서브시스템은 이미지, 동영상에 대한 미디어 관리 및 편집 기능을 제공하며 동영상에 대한 스트리밍 서비스를 제공한다. 메타데이터 관리 서브시스템은 이미지, 동영상에 대한 메타데이터 관리 및 검색 기능을 제공한다. 또한, UCC에 대한 댓글 관리 및 스크랩 처리 기능을 제공한다.

• 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.

• Journal of Information Processing Systems
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• 제1권1호
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• pp.27-31
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• 2005

Vehicle detector system based on image processing technology is a significant domain of ITS (Intelligent Transportation System) applications due to its advantages such as low installation cost and it does not obstruct traffic during the installation of vehicle detection systems on the road[1]. In this paper, we propose architecture for vehicle detection by using image processing. The architecture consists of two main parts such as an image processing part, using high speed FPGA, decision and calculation part using CPU. The CPU part takes care of total system control and synthetic decision of vehicle detection. The FPGA part assumes charge of input and output image using video encoder and decoder, image classification and image memory control.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권4호
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• pp.1146-1165
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• 2022

A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2004년도 춘계학술발표대회
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• pp.139-142
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• 2004

본 논문에서는 MPEG-21 Digital Item Adaptation(DIA)에 의한 워터마크 신호의 영향을 실험하고 분석한다. MPEG-21 DIA에서는 다양한 소비환경에 맞게 멀티미디어 컨텐츠를 변할 수 있는 기능들을 제공하고 있다. 그러나 컨텐츠 변환기능들은 저작권 보호를 위해 컨텐츠에 삽입된 워터마크신호를 홰손시킬 수 있으므로, DIA 환경에서 워터마킹기술을 사용하기 위해서는 워터마킹기술에 대한 DIA의 영향을 분석할 필요가 있다. 본 논문에서는 일반적으로 널리 알려진 대표적인 워터마킹기술을 이용하여 MPEG-21 DIA에서 정의하고 있는 각각의 적응변환기능에 대한 워터마크의 강인성을 실험하여, 그 결과를 바탕으로 DIA 환경에서 워터마킹기술을 적용할 때 필요한 요구사항을 분석하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 추계학술발표대회
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• pp.253-256
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• 2006

본 논문은 사용자의 인터랙션(user interaction)을 고려하여, 사용자가 관심을 가지는 영역에 대해서 최적화된 비디오 콘텐츠를 제공받을 수 있는 비디오 서비스 시스템을 제안한다. 본 논문에서 제안하는 사용자 인터랙티브티를 고려한 서비스 시스템은 SVC(Scalable Video Coding)의 다중 ROI를 사용한다. 또한 제안된 시스템에서는 다양한 방식의 비디오 품질과, 다중 ROI에 대한 선택 과정에서 콘텐츠 소비 주체와 시스템간의 쌍방향 제어 수단을 개발하고 콘텐츠의 관심 영역 지정 과정에서 사용자의 인터렉션 정보를 이용하는 방법을 제안한다. 제안하는 시스템의 유효성을 테스트하기 위해 사용자의 인터랙션에 의해 변환하는 SVC 콘텐트를 만들었고, 사용자 단말에 인터렉션 기능으로 SVC 콘텐츠를 디코딩하는 시스템을 구현하여 유용성을 검증하였다.

• Journal of Oral Medicine and Pain
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• 제21권1호
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• pp.37-54
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• 1996

In this thesis, a new superimposition scheme using a computer vision system was proposed with 7 pairs of skull and ante-mortem photographs, which were already identified through other tests and DNA fingerprints at the Korea National Institute of Scientific Investigation. At this computer vision system, an unidentified skull was caught by video-camcoder with the MPEG and a ante-mortem photograph was scanned by scanner. These two images were processed and superimposed using pixel processing. Recognition of the individual identification by anatomical references was performed on the two superimposed images. These results were as followings. 1. For the enhancement of skull and ante-mortem photographs, various image processing schemes, such as SMOOTH, SHARPEN, EMBOSS, MOSAIC, ENGRAVE, INVERT, NEON and COLOR TO MONO, were applied using 3*5 window processing. As an image processing result of these methods, the optimal techniques were NEON, INVERT and ENGRAVE for the edge detection of skull and ante-mortem photograph. 2. Using various superimposition image processing techniques (SRCOR, SRCAND, SRCINVERT, SRCERASE, DSTINVERT, MERGEPAINT) were compared for the enhancement of image recognition. 3. By means of the video camera, the skull image was inputed directly to a computer system : superimposing it on the ante-mortem photograph made the identification more precise and time-saving. As mentioned above, this image processing techniques for the superimposition of skull and ante-mortem photographs simply used the previous approach, In other wrods, taking skull photographs and developing it to the same size as the ante-mortem photographs. This system using various image processing techniques on computer screen, a more precise and time-saving superimposition technique could be able to be applied in the area of individual identification in forensic practice.