• Journal of the Daesoon Academy of Sciences
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• v.47
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• pp.105-138
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• 2023

The purpose of this study is to examine the significance of various figures in The Canonical Scripture and their contents. The Canonical Scripture (jeon-gyeong 典經) is a record of the beliefs and deeds of Kang Jeungsan, composed through the memories of the followers of Kang Jeungsan who followed the words of The Canonical Scripture. In other words, The Canonical Scripture is understood as the scripture of Daesoon Jinrihoe that contains the religious deeds and teachings of Kang Jeungsan. It is divided into seven parts and 17 chapters. Those seven parts, some of which contain more than one chapter, are as follows: Acts, Reordering Works, Progress of the Order, Dharma, Authority and Foreknowledge, Saving Lives, and Prophetic Elucidations. In particular, The Canonical Scripture records the deeds of historical figures from both China and Korea, and this prominently includes the life history of Kang Jeungsan, and this is an especially pronounced feature of the sections Acts, Progress of the Order, and Prophetic Elucidations. In addition, each chapter describes the teachings and faith-inspiring acts of Kang Jeungsan and presents the gist of the Daesoon Thought while referring to the lives and actions of various historical figures. In this paper, introductions to the figures that appear in each section are provided to help readers better understand the contents of The Canonical Scripture. Therefore, this study focuses on the major figures introduced in The Canonical Scripture in connection with the religious values of Daesoon Thought. Through this, a contribution is made to the academic development of Daesoon Thought by specifically exploring and examining the contents of the figures who appear in The Canonical Scripture. This is a surprisingly underdeveloped area of study in Daesoon Thought.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.243-248
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• 2013

In this paper, depth of foreground is analysed by focus and color analysis grouping for 2D/3D video conversion and depth of foreground progressing method is preposed by using focus and motion information. Candidate foreground image is generated by estimated movement of image focus information for extracting foreground from 2D video. Area of foreground is extracted by filling progress using color analysis on hole area of inner object existing candidate foreground image. Depth information is generated by analysing value of focus existing on actual frame for allocating depth at generated foreground area. Depth information is allocated by weighting motion information. Results of previous proposed algorithm is compared with proposed method from this paper for evaluating the quality of generated depth information.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.631-636
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• 2009

Foreground segmentation methods have steadily been researched in the field of computer vision. Especially, background subtraction which extracts a foreground image from the difference between the current frame and a reference image, called as "background image" have been widely used for a variety of real-time applications because of low computation and high-quality. However, if the background scene was dynamically changed, the background subtraction causes lots of errors. In this paper, we propose an efficient background subtraction method in dynamic environment with both static and dynamic scene. The proposed method is a hybrid method that uses the conventional background subtraction for static scene and depth information for dynamic scene. Its validity and efficiency are verified by demonstration in dynamic environment, where a video projector projects various images in the background.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.711-714
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• 2021

고정 카메라 환경에서 전경과 배경 간 픽셀값의 차를 이용하여 전경을 추출하기 위해서는 정확한 배경 영상이 필요하다. 또한, 프레임마다 변화하는 실제 배경과 맞추기 위해 배경 영상을 지속해서 갱신할 필요가 있다. 본 논문에서는 정확한 배경 영상을 생성하기 위해 실시간 처리가 가능한 딥러닝 기반 객체 탐지기의 결과를 입력받아 영상 처리에 활용함으로써 배경을 생성 및 지속적으로 갱신하고, 획득한 배경 정보를 이용해 전경을 추출하는 방법을 제안한다. 먼저, 고정 카메라에서 획득되는 비디오 데이터에 딥러닝 기반 객체 탐지기를 적용한 박스 단위 객체 탐지 결과를 지속적으로 입력받아 픽셀 단위의 배경 영상을 갱신하고 개선된 배경 영상을 도출한다. 이후, 획득한 배경 영상을 이용하여 더 정확한 전경 영상을 획득한다. 또한, 본 논문에서는 시설물에 가려진 객체를 더 정확히 탐지하기 위해서 전경 영상을 이용하여 시설물 영상을 추출하는 방법을 제안한다. 실제 돈사에 설치된 카메라로 부터 획득된 12시간 분량의 비디오를 이용하여 실험한 결과, 제안 방법을 이용한 전경과 시설물 추출이 효과적임을 확인하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.04a
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• pp.100-105
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• 1998

지문 검증은 생체 측정학의 다양한 인증 시스템 중에서 기술의 적용 범위 및 사용의 편의성 등에서 가장 우수한 개인 인증 방법이다. 이러한 지문 인식 과정 중에서 Segmentation은 가장 기초적이지만 이후의 처리과정에 지대한 영향을 미칠 수 있는 과정이다. 특히 잡음이 많은 영상, 회전된 영상, 깨끗하지 못한 영상 등은 Segmentation 방법에 따라 원래의 영상이 훼손될 소지가 많다. 그래서 전자와 같은 지문의 경우, 한계 영역을 가변적으로 설정하여 전경 영상을 선택하는 것이 좋은 방법이다. 이 방법의 특징은 블록의 크기를 잘게 나누어 전경 후보자 영상 여러 개를 만들어서, 그 중에서 전경 영상 하나를 선택할 때, 가변적인 한계 영역을 설정하여, 가장 양호한 전경 영상을 선택할 수 있게 하는 것과, 필터링 적용을 통한 노이즈 제거 방법을 적용하는 것이다. 이 방법을 적용함으로써, 양호한 전경 영상을 선택할 수 있었고, 노이즈까지도 깨끗이 제거하여, 정확히 지문 부분만을 분할(Segmentation) 할 수 있었다.

• Journal of the Daesoon Academy of Sciences
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• v.37
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• pp.53-105
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• 2021

The purpose of this study is to clarify the meaning of Gwonji (權智, Authority and Foreknowledge) through the phrases contained in the section, Gwonji of the Jeon-gyeong (known in English as The Canonical Scripture), and to compare the changes that each verse from Gwonji underwent by juxtaposing it against the sixth edition of Daesoon Jeong-gyeong (which was published prior to the Jeon-gyeong) to explore the term's literary meaning. In order to save the world, Sangje descended to human world and performed the Cheonjigongsa (Reordering Works of the Universe) for nine years with the power he exercises over the Three Realms of Heaven, Earth, and Humanity. Based on the plan set by the Cheonjigongsa, Sangje's teachings were spread to humanity and provided as the basis for building the earthly paradise. From this perspective, this study demonstrates its significance by providing a comprehensive approach to the Jeon-gyeong by highlighting the subject of Sangje's authority and wisdom as recorded in the section titled Gwonji. There is also value in the variant verses from Gwonji that the study discovered by comparing and analyzing the phrases from chapters one and two of Gwonji as they appear in the Jeon-gyeong with their equivalents from the sixth edition of Daesoon Jeong-gyeong, which was published in 1965, nearly a decade before Daesoon Jinrihoe's publication of the Jeon-gyeong in 1974. The results of this comparative study of parallel passages related to Gwonji are as follows: First, Gwonji can be understood as the authority and wisdom of Sangje, and this is the core element in realizing the Earthly Paradise through His Cheonjigongsa. Second, phrases related to Sangje's authority and wisdom are spread out in the seven sections of the Jeon-gyeong, and they were written to emphasize the main purpose suggested in each section or chapter. Third, in sections other than Gwonji, the great power of Sangje is exercised to treat matters related to deities and social problems, whereas in Gwonji part, it is dedicated to the performance of Cheonjigongsa. Fourth, there are five sections of the Jeon-gyeong which are organized into chapters. All of these sections and their chapters indicate the year when key events transpired. Fifth, when passages from chapter one of Gwonji is compared to parallel passages from Daesoon Jeon-gyeong, there are several verses that vary in terms of their wording and also sentences that indicate a different dates or times for certain events.

• Journal of the Korea Computer Graphics Society
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• v.20 no.3
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• pp.1-8
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• 2014

We propose a method to compose a foreground object into a background image, where the foreground object is a part (or a region) of an image taken by a front-facing camera and the background image is a whole image taken by a back-facing camera in a smart phone at the same time. Recent high-end cell-phones have two cameras and provide users with preview video before taking photos. We extract the foreground object that is moving along with the front-facing camera using the optical flow during the preview. We compose the extracted foreground object into a background image using a simple image composition technique. For better-looking result in the composed image, we apply a border smoothing technique using a weighted-border mask to blend transparency from background to foreground. Since constructing and grouping pixel-level dense optical flow are quite slow even in high-end cell-phones, we compute a mask to extract the foreground object in low-resolution image, which reduces the computational cost greatly. Experimental result shows the effectiveness of our extraction and composition techniques, with much less computational time in extracting the foreground object and better composition quality compared with Poisson image editing technique which is widely used in image composition. The proposed method can improve limitedly the color bleeding artifacts observed in Poisson image editing using weighted-border blending.

• 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.

• Journal of the Daesoon Academy of Sciences
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• v.32
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• pp.31-76
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• 2019

Lee Sang-ho published Jeungsan Cheonsa Gongsagi (Records of the Holy Works of Celestial Master Jeungsan) in 1926. Then, after complementing the book with additional materials, he published Daesoon Jeon-gyeong in the form of a religious scripture. Since then, Daesoon Jeon-gyeong has been expanded to a sixth edition which was published in 1965. The Haengnok of Daesoon Jinrihoe's The Jeon-gyeong, which was published decades later than Daesoon Jeon-gyeong describes Sangje's whole life year by year in five chapters starting from his descent to the human world all the way to his passing into heaven. It comprehensively contains the essential contents of other chapters from The Jeon-gyeong. This paper was written for the following three goals: first, to study the contents of Haengnok that summarize Sangje's life. Second, to see how its contents are related to descriptions from the other six chapters. Lastly, to discuss how certain verses have been changed from the way they appeared Daesoon Jeon-gyeong. When we compare these two scriptures, there are some verses that are found only in the Haengnok section of The Jeon-gyeong. For example, the verse that explains how Sangje's family name 'Kang' originated and how his ancestors came to live in Gobu area is described only in The Jeon-gyeong. The origin of the family name Kang is considered important because he descended into the world as a human bearing the family name Kang, and it is included in his official name that represents his divine position. Also, unique to The Jeon-gyeong are verses such as those describing "Samsin San (the three holy mountains) in the area where Sangje descended to and verses about the historical change of place names in the areas where Sangje lived. These verses have great significance in terms of their mystical aspects within Daesoon Thought. Secondly, the record about Sangje's Holy Works at Siru Mountain in The Jeon-gyeong is not found in Daesoon Jeon-gyeong. The Holy Works at Siru Mountain are important because they provide proof of Sangje's major activities during the period between his 3-year travel around the country and his Cheonji-gongsa (Reordering Works of the Universe). Next to be observed are some changes in verses that can be seen when comparing The Jeon-gyeong to Daesoon Jeon-gyeong. Of particular impostance here are the story of Sangje's Holy Work called 'King in White Cloth and General in White Cloth' and the description of Sangje's passing into heaven. Both records contain key changes that distinguish The Jeon-gyeong from Daesoon Jeon-gyeong.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.757-770
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• 2018

Foreground extraction is the most significant step in thermal imaging based surveillance systems. This step needs to be efficient in terms of time and memory consumption in order for the system to provide real time results but usually this efficiency reciprocates with the accurateness of the ROI detection. In this study, novel selective histogram bins based two background & foreground separation approaches for thermal videos processing have been proposed which exploit the temporal-consistency property of the thermal images in a given environment and can save over 80% memory than their simplest counterpart temporal median filtering.