• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.04a
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• pp.85-88
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• 2006

The transport properties of amorphous selenium typical of the material used in direct conversion x-ray imaging devices are reported. The effects of As addition on the carrier mobility and recombination lifetime in amorphous selenium (a-Se) films have been studied using the moving photocarrier grating (MPG) technique. We have found an increase in hole drift mobility and recombination lifetime, especially when 0.3% As is added into a-Se film, whereas electron mobility decreases with As addition due to the defect density. The transport properties for As doped a-Se films obtained by using MPG technique have been compared with the drift mobilities of holes and electrons obtained by time of flight (TOF) measurement.

• Annual Conference of KIPS
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• 2019.05a
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• pp.644-646
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• 2019

테크놀로지의 발달로 영상 이미지는 영상 예술 뿐 만 아니라 다매체에서 디지털이미지로 전달되고 있다. 기존의 영상 이미지는 화면 프레임을 단순히 시간적 움직임을 재현하는 것이나 제한된 화면 효과를 통해 표현되었다. 그러나 테크놀로지의 진보로 인하여 디지털 미디어는 기존 영상 기법을 확장시켜 다양한 표현을 빠르고 쉽고 편리하게 구현이 가능하게 되었다. 이와 같은 기술적 진화는 결과적으로 영상 이미지가 생성하는 이미지와 이미지 사이에 생기는 이질적 간격을 복잡하고 자극적으로 끝임 없이 전달 받게 되는 상황에 놓이게 되었다. 우리에게 디지털 이미지가 생성하는 이미지의 시간성이 움직임을 어떻게 해석할 수 있는지 들뢰즈의 관점에서 살펴보고, 인식적 요소가 실질적으로 어떻게 표현될 수 있는지 실증적인 사례<아디다스 광고 영상>을 중심으로 분석해 보고자 한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.301-304
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• 2000

본 논문에서는 영상 시퀀스의 이전 프레임과 현재 프레임 사이의 차분 데이터로 이루어진 차분 프레임에 대하여 제안한 FDVQ(프레임 차분 체적양자화기)를 적용했을 때, 복원된 영상의 원 영상에 대한 해상도(PSNR)를 분석하였다. 시험 동영상(moving image)으로 실험한 결과, 저주파 성분을 많이 포함하는 차분 영상 데이터에 대하여 높은 압축률에서 제안된 FDVQ 방법으로 얻은 복원 해상도는 2D-DCT와 VQ를 이용한 방법보다 개선된 결과를 나타내었다. PSNR 결과에 대한 영상 특성의 분석 결과에서 FDVQ를 이용한 방법은 VQ 방법보다 압축률은 비슷하였으나 해상도는 평균 0.39㏈ 정도 향상되었다. 또한, 평균압축률 약 0.05bpp에서 2D-DCT 방법에 비해 고주파 성분을 많이 포함하는 경우는 0.8㏈ 이상 향상되었으며, 저주파 성분을 많이 포함하는 경우는 평균 0.4㏈ 정도 향상된 복원영상(reconstructed image)을 얻을 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3011-3024
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• 2021

Pose estimation of the sensor is important issue in many applications such as robotics, navigation, tracking, and Augmented Reality. This paper proposes visual-inertial integration system appropriate for dynamically moving condition of the sensor. The orientation estimated from Inertial Measurement Unit (IMU) sensor is used to calculate the essential matrix based on the intrinsic parameters of the camera. Using the epipolar geometry, the outliers of the feature point matching are eliminated in the image sequences. The pose of the sensor can be obtained from the feature point matching. The use of IMU sensor can help initially eliminate erroneous point matches in the image of dynamic scene. After the outliers are removed from the feature points, these selected feature points matching relations are used to calculate the precise fundamental matrix. Finally, with the feature point matching relation, the pose of the sensor is estimated. The proposed procedure was implemented and tested, comparing with the existing methods. Experimental results have shown the effectiveness of the technique proposed in this paper.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.159-168
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• 2019

Accurate forest fires detection algorithms remain a challenging issue, because, some of the objects have the same features with fire, which may result in high false alarms rate. This paper presents a new video-based, image processing forest fires detection method, which consists of four stages. First, a background-subtraction algorithm is applied to detect moving regions. Secondly, candidate fire regions are determined using CIE $L{\ast}a{\ast}b{\ast}$ color space. Thirdly, special wavelet analysis is used to differentiate between actual fire and fire-like objects, because candidate regions may contain moving fire-like objects. Finally, support vector machine is used to classify the region of interest to either real fire or non-fire. The final experimental results verify that the proposed method effectively identifies the forest fires.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1218-1230
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• 2019

This study proposes a novel video traffic flow detection method based on machine vision technology. The three-frame difference method, which is one kind of a motion evaluation method, is used to establish initial background image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple but effective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics, such as vehicle's location information, color information and fractal dimension information. Experimental results show that this detection method could quickly and effectively detect various traffic flow parameters, laying a solid foundation for enhancing the degree of automation for traffic management.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.153-156
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• 2003

This paper proposes a video tracking method for a deformable moving object using an active contour model. In order to decide the convergent directions of the contour points automatically, a new energy function based on a frame difference map and an updating rules of the frame difference map are presented. Experimental results on a set of synthetic and real image sequences showed that the proposed method can fully track a speedy deformable object while extracting the boundary of the object exactly in every frame.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.82-85
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• 2003

This paper proposes a preprocessing method for tracking aircraft's take-off and lading. The method uses accumulative difference image technique for segmenting the object from the background, and obtains the centroid of the object exactly using centroid method. Then the moving object is analyzed and represented with the information such as feature point, velocity, and distance. A simulation result reveals that the proposed algorithm has good performance in segmenting and tracking the aircraft.

• Cartoon and Animation Studies
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• s.6
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• pp.72-90
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• 2002

The nature of animation is to create a moving image. Also, it creates a narrative space and visual image which is different form a reality. Therefore, image expression is very important in the animation. Although the domestic animation has a movement, it has not an image which has meaning. For instance, Korean fiction animation ${\ulcorner}$My beautiful girl, Mary${\lrcorner}$ has grand prize in Anncy International Animated Film Festival, 2002. Such achievement give new vision and present a clue of development to our national animation. However, not many people went to the cinema to watch it. The reason is that although 'Mary' has the Fantastic image, she doesn't show a true life image. The film is revival of reality through the image. However, animation is revival of reality through the 'transformation' of the existing image. Therefore, reviving exactly the same as a reality is not the most important fact in the animation image. Preferably, the most important fact in the animation image is that reviving reality into highly wrought image. This paper will study an expression form of animation trough the image. This paper will study an expression form of animation trough the image. Especially, it will concentrate on poetic image. For this, It will associate 'poetic' in literature with 'poetic image' in animation. For this, It will associate 'poetic' in literature with 'poetic image' in animation. Also, a variety poetic animation image will be divided into 1)mongtage 2)rhythm 3) compression 4)metaphor & symbol, and will be looked 'poetic image' effect.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.907-910
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• 2004

The method of holographic building of moving bulk scene that based on the acoustooptical interaction principles is discussed. Some results of numcrical simulation of bulk image process reconstruction are given.