• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.63-68
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• 2004

In this paper, we propose a method about the extraction of vehicle and tracking trajectory for moving vehicle tracking system in road. This system applied to the monitoring system of the traffic flow for ATMS(advanced traffic management system) of ITS(intelligent transport system). Also, this system can solve the problem of maintenance of loop sensor. And we detected vehicle using differential image analysis. Because of the road environment changes by real time. Therefore, the method to use background image is not suitable. And we used Kalman filter and innovation value and variable search area for vehicle tracking system. Previous method using fixed search area is sensitive to the moving trajectory and the speed of vehicle. Simulation results show that proposed method increases the possibility of traffic measurement more than fixed area traffic measurement system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.10C
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• pp.1013-1022
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• 2003

This paper implemented the real-time object tracking algorithm that extracts and tracks the moving object adaptively to input frame sequence by using non-parametric image processing method and Kalman filter-based dynamic AR(2) process method. By applying non-parametric image processing to input frames, the moving object was extracted from the background adaptively to diverse environmental conditions. And the movement of object was able to be adaptively estimated and tracked by modeling the various movement of object as dynamic AR(2) process and estimating based on the Kalman filter the parameters of AR(2) process dynamically changing along time. The experiments of the implemented object tracking system showed that the proposed method tracked the moving object as more approximately as the estimation error became about l/2.5∼1/50 of one of the traditional tracking method based on linear Kalman filter.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.252-254
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• 2013

When Coming alongside the shallow water or narrow pier, they apply sea area with small mooring facilities and Floating matter because of the diversity of ships and limitation and effective in cutting expenses. However, when ships, applying Small mooring facilities and Floating matter, come alongside, there can be some impulse by waves between the Floating things and ships which possibly leads to mass disaster. Therefore, there should be forecasts and analysis of the movement caused by waves. On this Study, it introduces the composition and principles of the developed system provides the base of the movement traits through measuring 3-D exercise data and acceleration of the Mooring and Floating matters.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.4C
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• pp.312-320
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• 2008

The macroblock-based adaptive interpolation filter method has been considered to be able to achieve high coding efficiency in H.264/AVC. In this method, although the filter selection criterion considered in terms of rate and distortion have showed a good performance, it still leaves room for improvement. To improve high coding efficiency better than conventional method, we propose a new filter selection criterion which considers two bit rates, motion vector and prediction error, and reconstruction error. In addition, the algorithm for reducing the overhead of transmitting the selected filter information is presented. Experimental results show that the proposed method significantly improves the coding efficiency compared to ones using conventional criterion. It leads to about a 5.19% (1 reference frame) and 5.14% (5 reference frames) bit rate savings on average compared to H.264/AVC, respectively.

• KIPS Transactions on Computer and Communication Systems
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• v.1 no.3
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• pp.187-192
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• 2012

This paper describes efficient H.264/AVC video scrambling methods for digital rights management. The proposed scrambling methods are to scramble level and suffix in entropy encoding and MVD in motion estimation of the H.264 video compression process. Other scrambling methods have been proposed but they degrade the compression efficiency or make it difficult to achieve real-time processing due to the large amount of computational efforts. Since the proposed scrambling methods resolve the drawbacks of other approaches, they do not cause image distortion and the original compression efficiency is maintained. We verified our scrambling methods and evaluated the performance by conducting several experiments with H.264 reference program. Finally, we implemented video player system using USB dongle in order to apply the proposed scrambling/descrambling methods to H.264 video compression.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.2
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• pp.106-111
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• 2009

Real-time video stabilization technology is used in correction for the camera vibrations of the hand-held camera by hand or fixed camera by external condition. This paper is about the counterplan to cope with the vibration of the movie generated by the large external cause relatively. we use the movie stabilization parameters with the phase correlation method based the DFT to get the displacements of the current frame to the reference frame. we use the kalman filter for the efficient and stable searching works on the phase correlation map and present the proper conditions for the real-time processing through the experiments. We propose the measure to evaluate the capability of the video stabilizer which is the standard deviation of the brightness of the center block. and compare the capability for the video sequences randomly shifted and the jittered video sequences obtained from camera.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2323-2329
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• 2008

Advances in wireless communication and hardware technology have made it possible to manufacture high-performance tiny sensor nodes. More recently, the availability of inexpensive cameras modules that are able to capture multimedia data from the environment has fostered the development of Wireless Multimedia Sensor Networks(WMSNs). WMSN supplements the a advanced technique that senses, transmits, and processes the multimedia contents upon the text based traditional wireless sensor network. Since the amount of data which the multimedia contents have, is significantly larger than that of text based data, multimedia contents require lots of computing power and high network bandwidth. To process the multimedia contents on the wireless sensor node which has very limited computing power and energy, a technique for WMSN should take account of computing resource and efficient transmission. In the paper, we propose a new image compression technique YWCE for efficient compression and transmission of image data in WMSN. YWCE introduces 4 type of technique for motion estimation and compensation based on the Resolution Scalability of Wavelet. Experimental result shows that YWCE has high compression performance with different set of 4 type.

• International Area Studies Review
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• v.21 no.2
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• pp.3-20
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• 2017

Traditional co-integration analysis method is known to be difficult to clearly determine the relationship between the cointegrated variables. This study utilizes a fractional cointegation method and a causal analysis of time and frequency domain among the exchange rates of Korea, China and Japan. The results show that even though traditional cointegration methods did not clarify the existence of cointegration, exchange rates were fractionally cointegrated. Causal analysis of time domain and frequency domain provided somewhat different results, but the yen/dollar was useful for forecasting won/dollar and yuan/dollar. Proper use of causal analysis of frequency domain and fractional cointegration emthods may provide useful information that can not be explained from the traditional method.

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.351-360
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• 2022

Image blurring is a phenomenon that occurs due to factors such as movement of a subject and shaking of a camera. Recently, the research for image deblurring has been actively conducted based on convolution neural networks. In particular, the method of guiding the restoration process via the difference between blur and sharp images has shown the promising performance. This paper proposes a novel method for improving the deblurring performance based on the distortion information. To this end, the transformer-based neural network module is designed to guide the restoration process. The proposed method efficiently reflects the distorted region, which is predicted through the global inference during the deblurring process. We demonstrate the efficiency and robustness of the proposed module based on experimental results with various deblurring architectures and benchmark datasets.

• Journal of TMJ Balancing Medicine
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• v.12 no.1
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• pp.28-31
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• 2022

위에서 살펴본 바와 같이 나는 급성 턱관절장애의 경우, 첫번째 유형은 주로 턱관절 디스크공간의 문제와 하악의 위치를 바로잡아주는 근육의 문제가 주 원인일 것으로 추정하고 있다. 만약 턱관절 디스크공간이 정상공간이라면 턱의 지그재그 움직임이나 턱관절잡음, 턱통증, 턱탈구, 그리고 개구장애 등이 발생할 수 없기 때문이다. 그리고 근육의 문제 중에서는 턱관절 디스크원판을 양측에서 잡아주는 내외측 익돌근의 문제가 가장 많은 영향을 미치고 있다. 특히 내측 익돌근의 긴장 및 수축이 디스크 원판을 내측으로 빠져나가게 함으로써 하악의 좌우 지그재그 움직임을 야기시키고 턱관절잡음이나 턱통증 및 개구장애를 유발하기 때문이다. 나머지는 저작에 관여하는 근육들이 그 다음으로 영향을 미치는 것으로 예측하고 있다. 그러나 제2형 급성 턱관절장애의 경우는 제1형 급성 턱관절장애가 한단계 더 발전하여 이와 연관된 근육이나 인대의 긴장수축이 오랜 시간 진행되어, 이들이 다시 상부 경추의 아탈구와 두개골의 비정상적 움직임에까지 영향을 미쳐 나타나는 것으로 생각된다. 그렇게 되면 뇌에서 필요 충분한 뇌혈액공급이나 뇌척수액순환의 문제를 일으킬 수 있기 때문이다. 그리고 제1형 만성 턱관절장애의 경우는 제2형 급성 턱관절장애가 좀 더 진행되면서 척추 및 근골격계의 구조변화, 교합 및 턱의 구조변화 그리고 안면구조의 변화에 이르기까지 점점 진행되어 나타나는 것으로 보인다. 따라서 각종 척추 디스크질환, 관절질환을 비롯해서 두개천골계의 순환문제, 부정교합 및 턱 비대칭, 안면 비대칭의 문제를 유발하게 된다고 추정된다. 그러나 두번째 유형의 만성 턱관절장애는, 턱에서 지속적이고 반복적인 그리고 과다한 부정적 자극들이 오랜 기간 누적되면서 턱에 분포된 C 섬유를 비롯한 3차신경의 가소성변화를 유발하면서 결국 중추신경계를 포함하여 전체신경계의 회로망에까지 파급되어 다양한 만성질환 또는 난치성 질환들이 양산되는 것으로 추정하고 있다. 아마도 지금까지 서양의학에서 아직 밝혀내지 못한 대부분의 질병들이 여기에 포함되지 않을까 하는 것이 나의 생각이다.