• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.443-447
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• 1988

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.2
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• pp.149-159
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• 2001

The conventional block-based motion prediction suffers, especially in low bit-rate video application, from shortcomings such as blocking artifacts of motion field and unstable motion estimation. To overcome the deficiency, this paper proposes one method of adopting a new motion compensation scheme based on the irregular triangular mesh structure while keeping the current block-based DCT coding structure of H.263 as much as possible. To represent the reconstructed previous frame using minimal number of control points, the proposed method designs content-adaptive irregular triangular meshes, and then, estimate the motion vector of each control point using the affine transformation-based matching. The predicted current frame is obtained by applying the affine transformation to each triangular mesh. Experiment with the several real video sequences shows improvement both in objective and subjective picture quality over the conventional block-based H.263 method.

• Journal of IKEEE
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• v.19 no.2
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• pp.244-253
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• 2015

Please This paper presents method of video stabilization based on detection and adaptive motion smoothing filtering of undesirable motion. The proposed algorithm consists of two stages: the detection of undesirable motion and smoothing filtering of detected undesired motion. To incorporate desired properties into the motion smoothing process, the local maximum and the local minimum are defined in a set composed of the parameters of accumulative global motion. Using the local information, the constraints on detecting undesirable motions are defined. Based on these constraints, the alpha parameter of the alpha-trimmed means filter is adjusted, so that the degree of motion smoothing in the reconstructed video sequence is controlled. The experimental results demonstrated the capability of the proposed algorithm.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.329-330
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• 2007

지능형 로봇에서 환경인식과 이러한 환경에 따른 행동 결정능력은 로봇이 필수적으로 갖추어야 할 기능이다. 본 논문은 이족로봇 플랫폼에서 비전기반 환경인식과 이를 통한 안정적인 보행 제어시스템을 제안한다. 비전기반 환경인식 시스템은 움직임 모델을 이용한 로봇 자체 움직임 보정 모듈, Adaboost를 이용한 장애물 영역 추출, PCA를 이용한 장애물 특징 추출, Hierarchical SVM을 이용한 장애물 인식 모듈로 구성되어 있으며, 이러한 환경 인식 시스템으로부터 보행 제어 시스템은 상황에 맞는 안정적이 보행 궤적을 생성한다. 보행 제어 시스템은 neural network을 이용하여 보행 궤적 생성 모듈과 보행 오차를 보정하기 위한 fuzzy 제어기 모듈로 구성되어 있다. 본 시스템을 제작한 로봇에 적용한 결과 보다 안정적인 보행을 할 수 있었다.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.993-998
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• 2006

본 논문은 기존의 휴대폰과 같은 모바일 환경에서의 제약적인 화면을 극복하기 위하여 가상의 스크린을 만들고 이를 사용자가 손쉽게 제어할 수 있는 인터페이스에 대해서 제안하였다. 기존의 방법은 버튼을 반복적으로 눌러 스크롤 했던 것에 반해 제안된 인터페이스는 휴대폰 카메라를 통해 입력되는 영상 신호를 기반으로 움직임 벡터 값을 추출하고 이를 통하여 사용자가 움직이는 방향대로 화면을 움직여 줌으로서 사용자에게 편리하고 직관적인 인터페이스를 제공함으로서 휴대폰의 제한적인 화면을 극복 하였다. 모바일 환경에서의 움직임 벡터 값을 추출하기 위한 알고리즘을 제안하고, 제한적인 화면으로 인하여 정보 표현에 한계가 있던 점을 극복하여 모바일 환경에서의 새로운 인터페이스를 제안하였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.4
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• pp.47-54
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• 2010

We propose a smart human-computer interface replacing conventional mouse interface. The interface is able to control cursor and command action with only hand performing without object. Four finger motions(left click, right click, hold, drag) for command action are enough to express all mouse function. Also we materialize cursor movement control using image processing. The measure what we use for inference is entropy of EMG signal, gaussian modeling and maximum likelihood estimation. In image processing for cursor control, we use color recognition to get the center point of finger tip from marker, and map the point onto cursor. Accuracy of finger movement inference is over 95% and cursor control works naturally without delay. we materialize whole system to check its performance and utility.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.40 no.3
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• pp.109-116
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• 2003

In this paper. we Propose an UXGA class LCD controller for controlling the LCD panel. The proposed controller supports the full screen display using GCD between input and output resolutions. The proposed LCD controller includes the motion detector based on median filter which can detect the motion of input image for the enhancement of a image quality. Also, it divides the motion into 3 stages such as still, semi-moving and moving, and uses the different interpolation algorithms according to the degree of motion. In order to evaluate the performance of the proposed interpolation algorithm, we use PSNR method and compare the conventional algorithm by using computer simulation. For the proposed motion detection algorithm, we use a visual verification and the estimation of pixel changes. The proposed LCD controller has been designed and verified by VHDL. It has been synthesized using Xilinx VirtexE FPGA.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.927-929
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• 2011

Since DVC (Distributed Video Coding) and FRUC (Frame Rate Up Conversion) techniques need to have an efficient motion compensated frame interpolation algorithms. Conventional works of these applications have mainly focused on the performance improvement of overall system. But, in some applications, it is necessary to evaluate how well the MCI (Motion Compensated Interpolation) frame matches the original frame. For this aim, this paper deals with the modeling methods for evaluating the block-based matching cost. First, several matching criteria, which have already been dealt with the motion compensated frame interpolation, are introduced and then combined to make estimate models for the size of MSE (Mean Square Error) noise of the MCI frame to original one. Through computer simulations, it is shown that the block-based cost evaluation models are tested and can be effectively used for estimating the MSE noise.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.2
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• pp.91-95
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• 2004

In this paper, we propose a fuzzy controller for the evaluation of the quantization parameters in the H.263 coder. Our method adopts the Mamdani method for fuzzification and adopts the centroid method for defuzzification respectively. The inputs are variance, entropy in the spatial domain, current motion vector and previous motion vector in the temporal. Fuzzy variables are determined to be compatible in visual characteristics and fuzzy membership function is induced and then, FAM banks are designed to reduce the number of rules. In this paper, fuzzy quantization has been applied to a practical video compression. This results show that the quality of decode image enhances and the rate control method using fuzzy quantization is effective.

• ICROS
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• v.3 no.1
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• pp.53-59
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• 1997

본 고에서는 급속하게 변화하고 있는 산업사회의 움직임 가운데서 공장자동화의 핵심적인 장치로서 등장하여, 지속적인 성장을 하고 있는 산업용 로봇과 생산자동화 기술의 발전단계 및 산업동향을 비롯하여 최근의 기술동향을 살펴보고자 한다.