• Journal of Digital Contents Society
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• v.17 no.4
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• pp.273-278
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• 2016

Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.169-177
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• 2014

It is essential to support the image and video analysis technology such as motion detection since the DVR and NVR storage were adopted in the real time visual surveillance system. Especially the network camera would be popular as a video input device. The traditional CCTV that supports analog video data get be replaced by the network camera. In this paper, we present the design and implementation of video surveillance system that provides the real time motion detection by the video storage server. The mobile application also has been implemented in order to provides the retrieval functionality of image analysis results. We develop the video analysis server with open source library OpenCV and implement the daemon process for video input processing and real-time image analysis in our video surveillance system.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.420-432
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• 2014

In detection of moving objects from video sequences, an essential process for intelligent visual surveillance, the cast shadows accompanying moving objects are different from background so that they may be easily extracted as foreground object blobs, which causes errors in localization, segmentation, tracking and classification of objects. Most of the previous research results about moving cast shadow detection and removal usually utilize color information about objects and scenes. In this paper, we proposes a novel cast shadow removal method of moving objects in gray level video data for visual surveillance application. The proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the corresponding regions in the background scene. Then, the product of the outcomes of application determines moving object blob pixels from the blob pixels in the foreground mask. The minimal rectangle regions containing all blob pixles classified as moving object pixels are extracted. The proposed method is simple but turns out practically very effective for Adative Gaussian Mixture Model-based object detection of intelligent visual surveillance applications, which is verified through experiments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.599-600
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• 2013

In this paper, a platform of portable cultural assets surveillance system is designed in order to prevent the theft of cultural assets. The platform was designed to take into account the characteristics of the cultural assets for minimizing of the damage of cultural assets. The platform is composed of the portable cultural assets surveillance system and the collaboration network protocol among th surveillance system. If an intruder steals the cultural assets and moves according to the scheduled route, it is expected that the platform has a great role because the platform of portable cultural assets surveillance system can performs the continuous tracking by the collaboration network.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.7
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• pp.241-244
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• 2014

Wireless Sensor Network(WSN) has been attracting lots of interest in recent years for smart surveillance systems. WSN-based surveillance systems need to figure out the occurrence or existence of events or objects and to find out where the events have occurred or the objects are present. In our surveillance system, it is needed to give an alarm only when the detected object is human (not pets or rodents) for reducing false alarms and improving the system reliability. In this paper, we propose a height prediction mechanism to determine if the detected object is human using Heron's formula. Finally, we verify the performance of our proposed mechanism through various experiments.

• Korean Journal of Veterinary Research
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• v.47 no.1
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• pp.51-57
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• 2007

To establish a statistically reliable sampling strategy for serological surveillance of classical swinefever (CSF) in Korea, antibody test data from CSF surveillance conducted during year 2005 were analyzed.The most appropriate sampling method was determined to be stratified multi-stage random sampling strategy,in which the primary sampling unit is a pig farm and the secondary are the pigs by the strata of breedersand finishers in the selected farm. The optimum sample size was 5 to 19 including 1 to 2 breeders accordingto the number of pigs in the farm. The optimum sampling strategy demonstrated in this study was veryFindings of our study provide practical guidelines for surveillance of herd immunity level to CSF in Korea.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.12-21
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• 2015

Due to the influence of Han-la Mountain which is located at the center of Jeju Island, a radar blind sector has been appearing in the south-east, low-altitude area of Jeju Island. Thus, the region is perilous for aircraft using surveillance in this area with the existing radar equipment that is currently available. In addition, as the popularity for domestic leisure aviation is on the rise, the safety in low-altitude area should be guaranteed. Where not only IFR flights but also VFR flights are mainly used. Therefore, immediate measures to the present state of radar blind sector in Jeju Island should be taken into serious account. Regarding the circumstances, this study's purpose is to help secure the aviation safety in Jeju region by analyzing the current air traffic surveillance system in Jeju Island and comprehending its vulnerable factors. Moreover, this study compares secondary radar surveillance system, ADS-B and MLAT(Multilateration) system with factors based on the guidance materials from ICAO Asia and Pacific region office to suggests an adequate surveillance technology considering the regional characteristics of Jeju.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.816-818
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• 2017

In this paper, we perform a performance analysis of a surveillance camera network system with an image recognition server based on frame discard rate and server utilization. Surveillance camera states are divided into recognition states and silence states to analyze the various parameters such as the optimum number of image frames and the optimum number of cameras based on the processing capacity of the server. The analyzed results will be useful for efficient operation of the evolving surveillance camera network systems.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.1
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• pp.61-68
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• 2018

In this paper, we described about methods and results to verify the Tx/Rx beam characteristics of a planar active phased array antenna as using a near-field measurement. The near-field system can effectively measure multiple beams and predict the performance degradation due to the partial failure of individual elements. Also, it can accurately predict the EIRP relating to detection performance of the active phased array radar. We briefly described the near-field measurement method to verify the Tx/Rx beam characteristics, and then verified the effectiveness of measurement method by analyzing the measured results.

• Journal of IKEEE
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• v.17 no.2
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• pp.104-110
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• 2013

In this paper, we introduce a smart care surveillance system which can support various CCTV cameras. In order to monitor an emergency requester in case of emergency, the server performs automatical CCTV Pan, Tilt, and Zoom control based on the location coordinates of the emergency requester. Also, a server finds and tracks the emergency requester using image processing and the updated location information. We implement a smart care surveillance system using the Genetec SDK tool to support various CCTV cameras. The efficiency of the rescue operation with the smart care surveillance system can be improved because rescuer can quickly control and monitor the requester's CCTV images.