• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.397-398
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• 2013

• Journal of the Korea Computer Graphics Society
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• v.9 no.3
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• pp.23-29
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• 2003

There is the temporal correlation of the video sequence between the motion vector of current block and the motion vector of the previous block. If we can obtain useful and enough information from the motion vector of the same coordinate block of the previous frame, the total number of search points used to find the motion vector of the current block may be reduced significantly. In this paper, we propose the block-matching motion estimation using an adaptive initial search point by the predicted motion information from the same block of the previous frame. And the first search point of the proposed algorithm is moved an initial point on the location of being possibility and the searching process after moving the first search point is processed according to the fast search pattern. Simulation results show that PSNR(Peak-to-Signal Noise Ratio) values are improved UP to the 1.05dB as depend on the image sequences and improved about 0.33~0.37dB on an average. Search times are reduced about 29~97% than the other fast search algorithms. Simulation results also show that the performance of the proposed scheme gives better subjective picture quality than the other fast search algorithms and is closer to that of the FS(Full Search) algorithm.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.405-417
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• 2020

Due to the popularization of the Extended Reality, research is actively underway to implement human motion in real-time 3D animation. In particular, Microsoft developed Kinect cameras for 3D motion information can be obtained without the burden of facilities and with simple operation, real-time animation can be generated by combining with 3D formats such as FBX. Compared to the marker-based motion capture system, however, Kinect has low accuracy due to its lack of estimated performance of joint information. In this paper, two algorithms are proposed to correct joint estimation errors in order to realize natural human motion in motion capture animation system in Kinect camera-based FBX format. First, obtain the position information of a person with a Kinect and create a depth map to correct the wrong joint position value using the human body segment length constraint information, and estimate the new rotation value. Second, the pre-set joint motion range constraint is applied to the existing and estimated rotation value and implemented in FBX to eliminate abnormal behavior. From the experiment, we found improvements in human behavior and compared errors between algorithms to demonstrate the superiority of the system.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.146-153
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• 2009

Thanks to computer graphic technology development, graphic design programming is easily accessible by any home computer user today since it is free from the burdens of complicated 알고리듬 or the expensive graphic tools that were required in the past. The term 알고리듬 2.5 is commonly used by computer graphic designers to refer to 2D, a form of pseudo-3D. In this study, by using 2.5D, which was previously utilized for strengthening visual effects and engine efficiency, together with Adobe Photoshop along with After Effects, I will incorporate these into motion graphics. Today, motion graphics dominate the advertisement and image markets. Since viewers have developed higher expectations, a more dynamic 3D space graphic technology is preferred over the outdated 2D basis. In this study, I will produce a 2.5D image which is generated through a vanishing point filter of Adobe Photoshop and After Effects based on still image information and captured at an angle of Axonometric Projection. Also, I will compare the effectiveness of the production process and camera angle flexibility between the previous 3D process and new 2.5 D process.

• Journal of Korea Multimedia Society
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• v.15 no.6
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• pp.731-736
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• 2012

Latest digital cinema is getting more interest on recent days. The combination of visually immersive 3D movie with chair movements and other physical effects has added more enjoyment. The movement of the chair is controlled manually in these digital cinemas. By the analysis of the digital cinema's video sequences, movement of the chair can be controlled automatically. In the proposed method first of all the motion of focused object and the background is identified and then the motion vector information is extracted by using the 9-search range. The motion vector is determined only for the movement of background while the object is stationary. The extracted Motion information from the digital cinemas is used for the movement control of the chair. The experimental results show that the proposed method outperforms the existing methods in terms of accuracy.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.444-454
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• 2017

Stop-motion animation is highly valued for realistic imagery and its ability to captivate the five senses of the audience. Despite this, practical research in this area is limited to date. The long hours required to produce stop-motion animation and turn these into profits can be attributed for the lack of knowledge in this area. In production research, the matter is made worse as it is difficult to protect the intellectual property made through the collaborated efforts of students and teaching staff through each laborious stage of planning, broadcasting and making 2D models. Meanwhile as the animation industry finds the investigation of new production processes taxing, it has maintained its focus on pre-existing processes such as the use of pipeline. This paper aims to shed light on new production methods that can be used to improve the effectiveness of existing stop-motion production. In addition, by working with Taktoon Enterprises on its T.V series Galaxy Kids the paper will revise real world production methods including the traditional use of hand made models. Thus by investigating the use of graphic technology such as 3D printing the paper will be able to extend current business models. Research conducted in this paper is a necessary part of overcoming various contents production obstacles. Furthermore, it may help publicize issues faced in production leading to the discussion and sharing of new innovations.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.1075-1080
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• 2007

본 논문에서는 댄스를 디지털콘텐츠와 접목시켜 누구나 쉽고 재미있게 즐길 수 있는 체험형 콘텐츠를 개발하고자 한다. 개발된 콘텐츠에서는 마우스나 키보드 등의 정적 입력 인터페이스를 벗어나 체험자의 능동적 참여를 위해 영상처리기술을 통해 PC 카메라로부터 얻은 영상에서 체험자의 모습을 분리하고 댄스 모션이 적용된 3D 모델과 같은 공간에 출력하여 두 모델간의 동작을 비교함으로써 같은 동작을 취하고 있는지를 판단하게 된다. 이때 체험자에게 어떠한 센서나 마커도 부착하지 않고 강건한 환경에서의 체험자 영상만을 추출하기 위한 방법과 댄스 모델과 체험자의 움직임 비교 방법을 새로이 제안하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.33-38
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• 2013

The general purposed control system for driving a motion of many different typed robot end-effector, which consists of a controller based on ARM Cotex M3-11017 MCU and an application software for generating a motion of end-effector, was developed. Experimental results show that a positioning error is nearly negligible and a repeatability error is 0.04%. Accordingly the developed control system can be applied practically to actuate a robot end-effector for inspection and maintenance of steam generator heat pipe in nuclear power plant.

• Smart Media Journal
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• v.11 no.11
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• pp.9-16
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• 2022

Among the types of robots, it is not easy to make a robot that walks on two legs. For this, it is necessary to be able to create software that can control precise servomotor settings and various operations. This process is very difficult for beginners and not easy to make because there is no suitable Arduino shield shape for the robot. Therefore, in this study, a method for manufacturing Arduino and plug-in type shield was proposed. In addition, the process of developing a PC control program that can simplify motion control, manufacturing a robot, and setting servo motor values to easily control motion was introduced. It is expected that this will be of great help to novice developers who are interested in making robots.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.2
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• pp.20-32
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• 2010

Previous hardware devices to capture human motion have many limitations; expensive equipment, complexity of manipulation or constraints of human motion. In order to overcome these problems, real-time motion capture algorithms based on computer vision have been actively proposed. This paper presents an efficient analysis method of multiple view images for real-time motion capture. First, we detect the skin color regions of human being, and then correct the image coordinates of the regions by using camera calibration and epipolar geometry. Finally, we track the human body part and capture human motion using kalman filter. Experimental results show that the proposed algorithm can estimate a precise position of the human body.