• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.92-100
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• 2014

This paper aimed to estimate Heonhwa-ga(獻花歌) background place, Hae-ga(海歌) background place based on the Heonhwa-ga background narrative, The main results are as follows. 1) Heonhwa-ga background place is judged as the area of the rock cliff and its suburbs in Golgok-po(Jigyeong-cheon Bugyeong-ri Namjeong-myeon, Yeongdeog county). 2) Hae-ga background place is judged as the area of the Weolsong-jeong in Uljin county, which is located in two day's distance(about 60km) from Heonhwa-ga background place. 3) Some local governments tend to estimate Heonhwa-ga background place, Hae-ga background place from the viewpoint of place marketing. So such judgement of those local governments is not persuasive.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.194-201
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• 2013

In serious crimes, bloody fingerprints are crucial evidence that make links between suspects and victims. There have been many studies related to bloody fingerprints for a long time. There are many comparative studies for effectiveness of Acid Fuchsin and Acid Yellow 7, but nothing about Eosin-Y in this country. Acid Fuchsin is a useful reagent that has unique red color distinguishing from light colored background. but it is useless on dark surfaces. In order to make it visible, we should use BVDA Gel lifters. On the contrary this, Acid Yellow 7 makes stronger fluorescence on a dark background. In this study, we got the conclusion that Eosin-Y is more useful than the others not only on dark background but also light background.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1288-1296
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• 2013

The prominent line at the singe image is the important fact for understanding spatial structure or estimating aesthetic scoring. According to this thesis, the abstraction of the background line helps analyzing vanishing point, reconstitution of 3 dimensions, and determining of image sloppiness. It also makes easy to calculate the rule of thirds. This thesis is composed of section hough transform mapping, prioritizing of the prominent line, and selection of the prominent line. These technologies are departmentalized to be applied abstraction of traffic lane, analyzing of building structure, abstraction of vanishing point, and abstraction of straight line documentation. This gives the choice that users are able to compose technology by considering characteristic of objects and luminous environment. This thesis also can be applied to abstract circle. The interval hough transform is able to select the number of prominent line which users want to abstract. It can analyze important prominent line numbers at the image and then abstract the lines, too. Results of prominent lines by experiments would be show at this thesis.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.8
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• pp.67-80
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• 2017

This paper presents a hole-filling method using extrapolated spatio-temporal background information to obtain a synthesized view. A new temporal background model using non-overlapped patch based background codebook is introduced to extrapolate temporal background information In addition, a depth-map driven spatial local background estimation is addressed to define spatial background constraints that represent the lower and upper bounds of a background candidate. Background holes are filled by comparing the similarities between the temporal background information and the spatial background constraints. Additionally, a depth map-based ghost removal filter is described to solve the problem of the non-fit between a color image and the corresponding depth map of a virtual view after 3-D warping. Finally, an inpainting is applied to fill in the remaining holes with the priority function that includes a new depth term. The experimental results demonstrated that the proposed method led to results that promised subjective and objective improvement over the state-of-the-art methods.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.449-455
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• 2014

Detection of moving objects is a fundamental task in most of the computer vision applications, such as video surveillance, activity recognition and human motion analysis. This is a difficult task due to many challenges in realistic scenarios which include irregular motion in background, illumination changes, objects cast shadows, changes in scene geometry and noise, etc. In this paper, we propose an foreground extraction algorithm based on codebook, a database of information about background pixel obtained from input image sequence. Initially, we suppose a first frame as a background image and calculate difference between next input image and it to detect moving objects. The resulting difference image may contain noises as well as pure moving objects. Second, we investigate a codebook with color and brightness of a foreground pixel in the difference image. If it is matched, it is decided as a fault detected pixel and deleted from foreground. Finally, a background image is updated to process next input frame iteratively. Some pixels are estimated by input image if they are detected as background pixels. The others are duplicated from the previous background image. We apply out algorithm to PETS2009 data and compare the results with those of GMM and standard codebook algorithms.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.27-34
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• 2013

Background subtraction is one of the key techniques for automatic video content analysis, especially in the tasks of visual detection and tracking of moving object. In this paper, we present a new sample-based technique for background extraction that provides background image as well as background model. To handle both high-frequency and low-frequency events at the same time, multiple interval background models are adopted. The main innovation concerns the use of a confidence factor to select the best model from the multiple interval background models. To our knowledge, it is the first time that a confidence factor is used for merging several background models in the field of background extraction. Experimental results revealed that our approach based on multiple interval sampling works well in complicated situations containing various speed moving objects with environmental changes.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.1-8
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• 2021

In online meetings and classes using webcams, the chromakey technique is a very necessary part to produce content. We proposed a technology that enables background synthesis without using a cloth for chromakey. The proposed method consists of three steps: an HSI image conversion step, a step of detecting a region changed from a background, and a step of replacing the background region with a chromakey and applying it. In the input video, the block average image of each frame is calculated, and the difference between the block average image of the background image and the block average image of the input image is used to detect the change area. The developed chromakey effect technology uses a technique of acquiring a background image without an object from a single camera and extracting only an object by distinguishing the moving object and the background. The proposed method is not only capable of processing even if the background has a variety of colors, but also has the seamless processing of the boundary lines of objects.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.144-151
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• 2019

The expression of natural backgrounds in a digital clip such as forest, water and sky break new ground and evolve. The process of arriving at a certain background style and designing belongs to the pre-production stage of animation produuction. Due to the advancement of CG technology, the production and consumption of animation has accelerated and so in an effort to reduce production time, the natural background has increasingly becomme normalised. For the distinction in contents, narrative and characters are emphasized in pre-production since it is believed that the background design will simply be a still image. However, there is a need to focus on background design as it is a tool that can effectively emphasize the narrative. This research is an analysis of the background design's role in forest background in productions such as "Alice's Adventures in Wonderland"(1951) and "Princess Mononoke"(1997). It details how appropriate each background forest was for the artist's intent using the 7 types of forest landscapes according to dendrology.

• Journal of Korean Society for Atmospheric Environment
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• v.15 no.4
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• pp.505-512
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• 1999

우리 나라의 배경농도 측정소에서 1996년과 1997에 측정한 대기오염물질 농도 경향을 살피고, 결과의 타당성에 대한 검토를 수행하였다. 그 결과 배경농도 측정소의 대기오염물질의 농도는 오존을 제외하고는 도심지역의 농도에 비해 낮음을 알 수 있었다. 그러나 이황산가스와 일산화탄소의 경우에는 일반용 측정기기를 사용하였기 때문에, 실제 농도보다 매우 높게 관측결과를 낼 수도 있음을 확인 하였다. 또한 예년 경향과 다르거나, 비정상적인 경향을 보여 측정결과의 신뢰성이 낮은 측정 결과도 일부 파악되었다. 우리 나라 배경농도도 측정소의 설치, 운영목적이 배경농도를 정확히 파악하고, 대기오염물질의 장거리이동 관련 연구의 기초자료를 생산하는데 있는 만큼, 배경농도 측정요인 저농도 측정기기의 이용과 함께, 좀더 적극적인 기기의 유지, 관리가 필요하다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.125-128
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• 2007

최근에 지능형 로봇분야에서 주위 카메라를 기반으로 실시간으로 환경인식 및 물체 추적 등 다양한 분야에서 연구가 활발히 진행되고 있다. 환경인식 및 물체 추적은 결국 배경과 관심물체를 분리하는 것이라고 볼 수 있는 데, 차 연산을 이용하여 물체의 움직임만을 배경으로 분리하는 방법과 물체인식을 통해 배경으로부터 분리하여 추적하는 방법에 대한 연구가 지속적으로 이루어지고 있다. 본 논문에서는 배경과 물체 사이에서 변화하는 색상의 변화를 퍼지기법을 이용하여 물체를 배경과 분리하여 실시간으로 물체를 추적하고자 한다. 실시간 물체 추적을 위해 전체영상에 대한 전역적 탐색을 통해 여러 후보 물체 중 관심물체를 배경에서 추출 후, 추출된 물체의 크기에 따른 지역탐색을 통하여 물체를 추적하는 방법이다. 그리고 본 논문에서는 ARM프로세서를 이용한 카메라시스템을 제작하여 실시간 추적을 실험하였다.