• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.3
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• pp.405-417
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• 2001

In this paper, since we currently using surveillance system of analog type bring about waste of resource and efficiency deterioration problems, we describe new solution that design and implementation to the digital surveillance system of new type applying compression techniques and encoding techniques of image data using MPEG-2 international standard. Also, we proposed fast motion estimation algorithm requires much less than the convectional digital surveillance camera system. In this paper a fast motion estimation algorithm is proposed the MPEG-2 video encoding. This algorithm is based on a hybrid use of the block matching technique and gradient technique. Also, we describe a method of moving object extraction directly using MPEG-2 video data. Since proposed method is very simple and requires much less computational power than the conventional object detection methods. In this paper we don't use specific H/W and this system is possible only software encoding, decoding and transmission real-time for image data.

• Journal of Advanced Navigation Technology
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• v.15 no.3
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• pp.471-477
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• 2011

A wide distribution of CCTV cameras in many public areas can be used not only for video surveillance systems but also for preserving fire occurrence. A proposed approach is based on visual information through a static camera. Video sequences are analyzed to find fire candidates and then spatial analyses procedure for detected fire-like color foreground is carried out. If spatial and temporal variances changes rapidly and close to fire motion, fire candidate is considered as fire.

• Annual Conference of KIPS
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• 2015.10a
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• pp.1439-1441
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• 2015

본 연구는 비디오 이해를 위해 비디오에 등장하는 주요 객체들의 행동이나 상태를 시각 동사라고 명명하고, 도메인 확장성 있는 계층적 시각 동사의 인식을 위해 온톨로지와 규칙을 기반으로 도메인 독립적인 시각 동사를 계층적으로 인식하는 방법과 특정 도메인에 관련된 시각 동사를 도메인 독립적 시각 동사를 기반으로 확장하여 인식하는 방법을 제안하고, CCTV 감시 비디오에서 인식 시뮬레이션 결과를 보여준다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.515-517
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• 2018

Access to public facilities such as substations, dams and railway facilities is strictly controlled, and unmanned surveillance equipment has been introduced and operated recently due to the development of IT technology and the government's cost reduction policy. However, if an unmanned surveillance system is broken, surveillance space, information leakage caused by intruders, and damage to facilities may occur. Also, it is necessary to check periodical visit by the manager in order to check the surveillance facilities, which causes additional management costs. In order to solve this problem, we designed a system to check the operation status of the unmanned monitoring facility in real time, attempt to recover automatically when a problem occurs, and notify the administrator of the problem. The designed system consists of an NVR that receives and judges information such as image, sound, and lighting condition, and a control device that detects and restores the state of the unmanned monitoring facility. The system proposed in this paper is expected to contribute to the improvement of the economic efficiency due to the minimization of surveillance space due to the failure of the unmanned monitoring facility and the reduction of the inspection cost.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.373-376
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• 2002

가정 내 정보 가전 기기들의 수효가 늘어 가고, 초고속 인터넷 서비스가 일반 가정으로 보급되는 등 가정 내의 정보 통신 환경이 변하고 있다. 이 가정 내 정보 가전 환경을 통합 관리하면서 외부 통신망과의 연계를 담당하는 기기로서 홈 서버가 이용되어 진다. 또한 코덱 기술의 발전으로 인터넷을 통해 원격지로 영상을 송수신할 수 있게 되었다. 본 논문에서는 이러한 정보 가전 환경에서 홈 서버를 기반 시스템으로 한 영상 감시 시스템의 구현에 대해 기술하였다. 본 시스템은 홈 서버 시스템에 X.10 프로토콜을 이용하여 카메라와 같은 디바이스를 제어하도록 하였으며, 통화 호출에 사용하는 프로토콜로는 IETF(Internet Engineering Task Force)에서 권고한 SIP(Session Initiation Protocol) 영상 회의 프로토콜을 기반으로 하였다. 본 영상 감시 시스템은 SIP의 User Agent를 홈 서버에 구현하여 비디오 코덱 등을 연결하였고 SIP의 메시지와 X.10 디바이스 콘트롤을 연동하는 모듈을 추가하여 카메라 선택 등의 디바이스 제어를 하는 동시에 집 외부에서 내부의 상황을 영상으로 모니터링할 수 있도록 하였다.

• The KIPS Transactions:PartD
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• v.12D no.2 s.98
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• pp.219-232
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• 2005

With the rapid progress of computer technology in recent years, a digital video data has been used in many applications. As a result, various technologies have been introduced to discover knowledge embedded in a video database. However, few researches on data mining for a video database have been performed due to the unclear boundary of the information in a large amount of a video stream. This paper proposes an efficient generation method of a feature profile in a set of similar video data. To extract the information embedded in original video data efficiently, several refinement techniques are also presented. These methods include merging pixels, restricting preferred areas, removing noises under a minimum repeat factor, extracting important key frames, generating derived blocks and applying weights to dynamic and static areas differently. Finally, the performance of these methods is evaluated by comparing a result profile obtained by a data mining process with original video streams.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.267-274
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• 2004

In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera is proposed Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are normalized by 24 steps from 0$^{\circ}$ to 360$^{\circ}$ It is used for the feature parameters of the moving objects that three normalization levels with the highest distribution and distance among three normalization levels after obtaining a hue distribution chart of the normalized moving objects. Moving objects identity among four cameras is distinguished with distribution of three normalization levels and distance among three normalization levels, and then the moving objects are tracked and surveilled. To examine propriety of the proposed method, four cameras are set up indoor difference places, humans are targeted for moving objects. As surveillance results of the interesting human, hue distribution chart variation of the detected Interesting human at each camera in under 10%, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at four cameras, automatically.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.237-239
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• 2021

Failure and malfunction of the unmanned surveillance facility cost can lead to delays occurring until the person in charge arrives at the unmanned surveillance facility, and theft, damage, and information leakage damage caused by intruders. In addition, due to equipment failure and malfunction, additional costs are incurred due to constant inspection by the manager. In this paper, in order to compensate for the malfunction of unmanned facility costs, we propose a system that diagnoses the monitoring facility in real time, displays the contents of the problem, automatically restores the facility power, and informs the person in charge of the situation by text message. The proposed system is a surveillance facility consisting of main facilities such as video equipment (CCTV), sound equipment, floodlights, etc. And SMS server that can send text messages in real time. Through experiments, the effectiveness of the proposed system was verified.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.2-9
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• 2000

This paper presents a statistical motion activity description method and video retrievals by using the intensity and directions of the extracted motion vectors from video sequence. Since the proposed method can represent temporal and spatial cognitive characteristics of an entire video, several images between key frames, and images in a certain interval, it can be effectively applied to digital video services such as video retrieval, surveilance, multimedia database, and broadcasting filterings. In the paper, the effectiveness of the proposed algorithm is shown with a lot of shots of MPEG-7 video dataset.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.27-33
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• 2020

Recently, visual object detection and tracking has become a vital role in many different applications. It spans various applications like robotics, video surveillance, and intelligent vehicle navigation. Especially, in current situation where the use of UAVs is expanding widely, detection and tracking to soot down illegal UAVs flying over the sky at airports, nuclear power plants and core facilities is becoming a very important task. The remarkable method in object tracking is correlation filter based tracker like KCF (Kernelized Correlation Filter). But it has problems related to target drift in tracking process for long-term tracking. To mitigate the target drift problem in video surveillance application, we propose a tracking method which uses KCF, adaptive thresholding and Kalman filter. In the experiment, the proposed method was verified by using monochrome video sequences which were obtained in the operational environment of UAV.