• Title/Summary/Keyword: Motion Processing

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A Study on the Generation of Ultrasonic Binary Image for Image Segmentation (Image segmentation을 위한 초음파 이진 영상 생성에 관한 연구)

  • Choe, Heung-Ho;Yuk, In-Su
    • Journal of Biomedical Engineering Research
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    • v.19 no.6
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    • pp.571-575
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    • 1998
  • One of the most significant features of diagnostic ultrasonic instruments is to provide real time information of the soft tissues movements. Echocardiogram has been widely used for diagnosis of heart diseases since it is able to show real time images of heart valves and walls. However, the currently used ultrasonic images are deteriorated due to presence of speckle noises and image dropout. Therefore, it is very important to develop a new technique which can enhance ultrasonic images. In this study, a technique which extracts enhanced binary images in echocardiograms was proposed. For this purpose, a digital moving image file was made from analog echocardiogram, then it was stored as 8-bit gray-level for each frame. For an efficient image processing, the region containing the heat septum and tricuspid valve was selected as the region of interest(ROI). Image enhancement filters and morphology filters were used to reduce speckle noises in the images. The proposed procedure in this paper resulted in binary images with enhanced contour compared to those form the conventional threshold technique and original image processing technique which can be further implemented for the quantitative analysis of the left ventricular wall motion in echocardiogram by easy detection of the heart wall contours.

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Variable Block-size Motion Estimation based on Merging Procedure (병합 방법에 의한 가변 블록 움직임 예측)

  • Lee, Kyu-Ho;Son, Nam-Rye;Lee, Guee-Sang
    • Annual Conference of KIPS
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    • 2003.11a
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    • pp.65-68
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    • 2003
  • 본 논문에서는 가장 최근의 동영상 표준인 H.264에서 가변 블록 움직임 예측 시 인접한 블록과의 상관성을 분석하여 병합 절차를 추가함으로써 매크로블록의 최종 모드를 결정하는 시간을 줄이기 위한 알고리즘을 제안한다. H.264에서는 매크로블록의 모드를 결정하기 위하여 총 7가지 모드를 사용하여 움직임 예측은 실시함으로써 부호화 효율을 극대화시킨 반면 이러한 움직임 예측이 부호화기의 복잡도를 높이는 주요 요인으로 현재 커다란 단점으로 지적되고 있다. 본 논문에서는 $8{\times}8$ 움직임 예측이 끝난 후 인접한 두 블록 사이의 거리론 임계값(Threshold)과 비교하여 다음 모드의 움직임 예측의 실시 여부를 먼저 절정함으로써 필요한 움직임 예측에 소비되는 시간을 단축시켰다. 여기서 실험 조건으로 명시하고 있는 것은 대표적인 단일모드 중에서 수행 성능이 가장 좋은 $8{\times}8$ 모드를 기본모드로 사용하고 병합 시 $16{\times}16$ 모드 쪽으로 상향식(bottom-up) 방법의 병합을 수행해 나아간다 모의실험을 통해 수행 성능과 전체 부호화 시간 측면을 본 논문에서 제안한 방법과 4가지 모드인 $16{\times}16,\;16{\times}8,\;8{\times}16,\;8{\times}8$ 모드를 모두 사용한 경우, $8{\times}8$ 단일모드를 사용한 경우를 비교하였다. 실험 결과 $8{\times}8$ 단일모드보다 수행 성능이 향상되었으며, 시간 단축 면에서 제안한 방법이 4가지 모드인 $16{\times}16,\;16{\times}8,\;8{\times}16,\;8{\times}8$ 모드를 모두 사용한 경우와 $8{\times}8$ 단일모드를 사용한 경우보다 계산 시간이 감소하였음을 확인하였다.행중인 MoIM-Messge서버의 네트워크 모듈로 다중 쓰레드 소켓폴링 모델을 적용하였다.n rate compared with conventional face recognition algorithms. 아니라 실내에서도 발생하고 있었다. 정량한 8개 화합물 각각과 총 휘발성 유기화합물의 스피어만 상관계수는 벤젠을 제외하고는 모두 유의하였다. 이중 톨루엔과 크실렌은 총 휘발성 유기화합물과 좋은 상관성 (톨루엔 0.76, 크실렌, 0.87)을 나타내었다. 이 연구는 톨루엔과 크실렌이 총 휘발성 유기화합물의 좋은 지표를 사용될 있고, 톨루엔, 에틸벤젠, 크실렌 등 많은 휘발성 유기화합물의 발생원은 실외뿐 아니라 실내에도 있음을 나타내고 있다.>10)의 $[^{18}F]F_2$를 얻었다. 결론: $^{18}O(p,n)^{18}F$ 핵반응을 이용하여 친전자성 방사성동위원소 $[^{18}F]F_2$를 생산하였다. 표적 챔버는 알루미늄으로 제작하였으며 본 연구에서 연구된 $[^{18}F]F_2$가스는 친핵성 치환반응으로 방사성동위원소를 도입하기 어려운 다양한 방사성의 약품개발에 유용하게 이용될 수 있을 것이다.었으나 움직임 보정 후 영상을 이용하여 비교한 경우, 결합능 변화가 선조체 영역에서 국한되어 나타나며 그 유의성이 움직임 보정 전에 비하여 낮음을 알 수 있었다. 결론: 뇌활성화 과제 수행시에 동반되는 피험자의 머리 움직임에 의하여 도파민 유리가 과대평가되었으며 이는 이 연구에서 제안한 영상정합을 이용한 움직임 보정기법에 의해서 개선되었다. 답이 없는 문제, 문제 만들기, 일반화가 가능한 문제 등으로 보고, 수학적 창의성 중 특히 확산적 사고에 초점을 맞추어 개방형 문제가 확산적 사고의 요소인 유창성, 독창성, 유연성 등에 각각 어떤 영향을 미치는지 20주의 프로그램을 개발, 진행하여 그 효과를 검증하고자 한다. 개방형 문

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E-mail System Providing Integrated User's View for the Message containing Image and Text (이미지와 텍스트 메시지의 통합 사용자 뷰를 제공하는 전자 우편 시스템)

  • Dok-Go, Se-Jun;Lee, Taek-Gyun;Lee, Hyeong-U;Yun, Seong-Hyeon;Lee, Seong-Hwan;Kim, Chang-Heon;Kim, Tae-Yun
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.2
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    • pp.563-572
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    • 1997
  • E-mail has been eidely used for unformation delivery as an Inernet serive. As multimedia etchnologies are developed rapidly, most of the recent Unternet infornation servies support multimedia data. E-mail system also needs to suport multimedia nesage. But Internet mail servise using simple maiol transfer protocol(SMTP) speci-fied in RFC 821/822 handles only ASCII text messages repressented with 7-bit code. Each line the message has the length limitation as well. Those are why it cannot satisfy the diverse user'w demands. Multipuepose Unternet mail extensions(MIMZE), which is a modification and supplement of RFC 822,was proposed for supporting transportation of multimedia data.It can solve the limitations of sizes and types in contents of a message. In this study the E-mail system has been designed and implemented according to the MIME standard in order to solve the limitations of transpotation of messages regardless of the message content type. Hypertext markup language(HTML)syntax is applied to the mail system, and so it is possible to display a message consisting of differnt media as an intergrated from for the purpose of better understanding a message. No application program is needed for displaying a message including image data,and convenience for user is considered in the system. The futuer work is to improve the E-mail system so that it may support motion pictures and sound information,Thereby tge perfor multimeda E-mail system providing inergrated user's wiew will be developed.

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Effective Compression of the Surveillance Video with Region of Interest (관심영역 구분을 통한 감시영상시스템의 효율적 압축)

  • Ko, Mi-Ae;Kim, Young-Mo;Koh, Kwang-Sik
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.95-102
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    • 2003
  • In surveillance video system, there are many classes of images and some spatial regions are more important than other regions. The conventional compression method in this system have been compressed there full frames without classfying them depend on their important parts. To improve the accuracy of the image coding and deliver effective compression for the surveillance video system, it was necessary to separate the regions according to their importance. In this paper, we propose a new effective surveillance video image compression method. The proposed scheme defines importance based three-level region of interest block in a frame, such as background, motion object block, and the feature object block. A captured video image frame can be separated to these three different levels of block regions. And depends on the priority, each block can be modified and compressed in different resolution, compression ratio and qualify factor. Therefore, in surveillance video system, this algorithm not only reduces the image processing time and space, but also guarantees the Important image data in high quality to acquire the system's goal.

A Study on Methods for Accelerating Sea Object Detection in Smart Aids to Navigation System (스마트 항로표지 시스템에서 해상 객체 감지 가속화를 위한 방법에 관한 연구)

  • Jeon, Ho-Seok;Song, Hyun-hak;Kwon, Ki-Won;Kim, Young-Jin;Im, Tae-Ho
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.47-58
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    • 2022
  • In recent years, navigation aids, which plays as sea traffic lights, have been digitized, and are developing beyond simple sign purpose to provide various functions such as marine information collection, supervision, control, etc. For example, Busan Port which is located in South Korea is leading the application of the advanced technologies by installing cameras on buoys and recording video images to supervise maritime accidents. However, there are difficulties to perform their major functions since the advanced technologies require long-term battery operation and also management and maintenance of them are hampered by marine characteristics. This study proposes a system that can automatically notify maritime objects passing around buoys by analyzing image information. In the existing sensor-based accident prevention systems, the alarms are generated by a collision detection sensor. The system can identify the cause of the accident whilst even though it is difficult not possible to fundamentally prevent the accidents. Therefore, in order to overcome these limitations, the proposed a maritime object detection system is based on marine characteristics. The experiments demonstrate that the proposed system shows about 5 times faster processing speed than other existing algorithms.

Study on the Motility of Frozen Semen and Characteristics for Frozen Semen Processing of Jindo-Dog (진도개 동결정액 제조를 위한 정액성상과 동결정액의 운동성에 관한 연구)

  • 김흥률;이계웅;공일근
    • Korean Journal of Animal Reproduction
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    • v.26 no.3
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    • pp.253-261
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    • 2002
  • This study was carried out to investigate the semen characteristic, motility and viability and sperm motion characteristic by CASA test for establishing the Jindo-dog's semen freezing system. The results obtained are as follow: 1. The semen was collected 63 times. Average volume of semen, concentration of sperm, total number of sperm, progressive motility and viability were 3.8 $m\ell$ 145.6$\times$10$^{6}$ cells/$m\ell$, 396.2 x10$^{8}$ cells, 79.7% and 89.5%, respectively. Also, Fawn (Yellow) Jindo-dog comparing with White Jindo-dog showed better concentration of sperm, total number of sperm, progressive motility and viability. Among all dogs, the results of No. 2 Fawn Jindo-dog were the best. 2. The average progressive motility and viability of semen from 46 times were 73.5%, 82.3% before freezing and 51.1%, 64.9% after freezing. So, the freezing of semen has affected the progressive motility and viability. The progressive motility and viability of Fawn Jindo-dog's semen, before and after freezing, were better than White Jindo-dog. And No. 2 Fawn Jindo-dog showed the best results and showed significantly different among all dogs (P<0.05). 3. The 44 times-tested .esults by CASA system were as follow; MOT (motility) 65.6%. PROG (progressive motility) 54.8%, VAP (average path velocity) 75.3 ${\mu}{\textrm}{m}$/sec, VCL (curve linear velocity) 90.0 ${\mu}{\textrm}{m}$/sec, VSL (straight-line velocity) 69.4 ${\mu}{\textrm}{m}$/sec and ALH (amplitude of lateral head displacement) 4.4 ${\mu}{\textrm}{m}$. Although the motion characteristic of frozen semen were not significantly different between White and Fawn Jindo-dog, No. 2 Fawn Jindo-dog showed the best results and was significantly different among all dogs (P<0.05). 4. The success rate of frozen semen production between White and Fawn Jindo-dog were 43% (13/28), 94% (33/35), respectively, and the total success rate was 73% (46/63). The freezing-ability of Fawn Jindo-dog's semen was better than the other. Conclusively, the present results indicated that the characteristic and motility of Jindo-dog') semen were suitable for processing frozen semen, artificial insemination and mass production system. Also, the selection of suitable dog-breed was so important because the characteristic and freezing-ability of semen were significantly different between White and Fawn Jindo-dogs and among all individual dogs.

Development of Robotic Inspection System over Bridge Superstructure (교량 상판 하부 안전점검 로봇개발)

  • Nam Soon-Sung;Jang Jung-Whan;Yang Kyung-Taek
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.180-185
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    • 2003
  • The increase of traffic over a bridge has been emerged as one of the most severe problems in view of bridge maintenance, since the load effect caused by the vehicle passage over the bridge has brought out a long-term damage to bridge structure, and it is nearly impossible to maintain operational serviceability of bridge to user's satisfactory level without any concern on bridge maintenance at the phase of completion. Moreover, bridge maintenance operation should be performed by regular inspection over the bridge to prevent structural malfunction or unexpected accidents front breaking out by monitoring on cracks or deformations during service. Therefore, technical breakthrough related to this uninterested field of bridge maintenance leading the public to the turning point of recognition is desperately needed. This study has the aim of development on automated inspection system to lower surface of bridge superstructures to replace the conventional system of bridge inspection with the naked eye, where the monitoring staff is directly on board to refractive or other type of maintenance .vehicles, with which it is expected that we can solve the problems essentially where the results of inspection are varied to change with subjective manlier from monitoring staff, increase stabilities in safety during the inspection, and make contribution to construct data base by providing objective and quantitative data and materials through image processing method over data captured by cameras. By this system it is also expected that objective estimation over the right time of maintenance and reinforcement work will lead enormous decrease in maintenance cost.

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An Implementation of Dynamic Gesture Recognizer Based on WPS and Data Glove (WPS와 장갑 장치 기반의 동적 제스처 인식기의 구현)

  • Kim, Jung-Hyun;Roh, Yong-Wan;Hong, Kwang-Seok
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.561-568
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    • 2006
  • WPS(Wearable Personal Station) for next generation PC can define as a core terminal of 'Ubiquitous Computing' that include information processing and network function and overcome spatial limitation in acquisition of new information. As a way to acquire significant dynamic gesture data of user from haptic devices, traditional gesture recognizer based on desktop-PC using wire communication module has several restrictions such as conditionality on space, complexity between transmission mediums(cable elements), limitation of motion and incommodiousness on use. Accordingly, in this paper, in order to overcome these problems, we implement hand gesture recognition system using fuzzy algorithm and neural network for Post PC(the embedded-ubiquitous environment using blue-tooth module and WPS). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data 2) Relational Database Management System(hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition modulo: fuzzy max-min and neural network recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy min-nin module and 96.7% in neural network recognition module about significantly dynamic gestures.

Facial Expression Control of 3D Avatar using Motion Data (모션 데이터를 이용한 3차원 아바타 얼굴 표정 제어)

  • Kim Sung-Ho;Jung Moon-Ryul
    • The KIPS Transactions:PartA
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    • v.11A no.5
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    • pp.383-390
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    • 2004
  • This paper propose a method that controls facial expression of 3D avatar by having the user select a sequence of facial expressions in the space of facial expressions. And we setup its system. The space of expression is created from about 2400 frames consist of motion captured data of facial expressions. To represent the state of each expression, we use the distance matrix that represents the distances between pairs of feature points on the face. The set of distance matrices is used as the space of expressions. But this space is not such a space where one state can go to another state via the straight trajectory between them. We derive trajectories between two states from the captured set of expressions in an approximate manner. First, two states are regarded adjacent if the distance between their distance matrices is below a given threshold. Any two states are considered to have a trajectory between them If there is a sequence of adjacent states between them. It is assumed . that one states goes to another state via the shortest trajectory between them. The shortest trajectories are found by dynamic programming. The space of facial expressions, as the set of distance matrices, is multidimensional. Facial expression of 3D avatar Is controled in real time as the user navigates the space. To help this process, we visualized the space of expressions in 2D space by using the multidimensional scaling(MDS). To see how effective this system is, we had users control facial expressions of 3D avatar by using the system. As a result of that, users estimate that system is very useful to control facial expression of 3D avatar in real-time.

A Study on Fast Iris Detection for Iris Recognition in Mobile Phone (휴대폰에서의 홍채인식을 위한 고속 홍채검출에 관한 연구)

  • Park Hyun-Ae;Park Kang-Ryoung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.2 s.308
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    • pp.19-29
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    • 2006
  • As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).