• Title/Summary/Keyword: 물체추적

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A Study of Kalman Filter Adaptation for Protecting Aquaculture Farms (양식어장보호를 위한 칼만필터 적용에 관한 연구)

  • Nam, Taek-Kun;Jeong, Jung-Sik;Jong, Jae-Yong;Yang, Won-Jae;Ahn, Young-Sup
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.29 no.1
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    • pp.273-277
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    • 2005
  • In this paper, we study on adaptation of the kalman filter for FDS(fishery detection system) to protect and aquaculture farms. The FDS will detect a robbing vessel with real time and a variance of the position of fishing fields. The kalman filter for tracking system that can be detect and track the approaching object without mounting F-AIS(Fishery Automatic Identification System) is applied. Some simulation results for the acceleration object with white noise is showed and the possibility of adaptation for tracking system is discussed.

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Cold Storage Management System using RFID Deployment Simulator for Optimized Business Process (최적화된 비즈니스 프로세스를 위한 RFID 배치 시뮬레이터 기반의 냉동창고 관리 시스템)

  • Baek, Sun-Jae;Moon, Mi-Kyeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.6
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    • pp.1453-1459
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    • 2010
  • Recently, the aim of cold storage warehouse is not only to provide preservation of the quality of perishable foods but also to use state-of-the-art information systems to rapidly move products across the cold chain. An RFID (Radio Frequency Identification) is an automatic identification method that detects signals from mobile objects, and tracks and traces movement of the objects. RFID can be used to turn a cold storage warehouses into a real-time system. In this paper, we develop an cold storage management system to support the optimized business processes with RFID system. First of all, business processes in the cold storage warehouse are analyzed. Then design factors which should be considered for incorporating RFID are defined. Design values which set to the design factors can be extracted from using RFID deployment simulator. as a result, the design values make RFID to be efficiently integrated to existing business processes.

Unsupervised Motion Learning for Abnormal Behavior Detection in Visual Surveillance (영상감시시스템에서 움직임의 비교사학습을 통한 비정상행동탐지)

  • Jeong, Ha-Wook;Chang, Hyung-Jin;Choi, Jin-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.45-51
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    • 2011
  • In this paper, we propose an unsupervised learning method for modeling motion trajectory patterns effectively. In our approach, observations of an object on a trajectory are treated as words in a document for latent dirichlet allocation algorithm which is used for clustering words on the topic in natural language process. This allows clustering topics (e.g. go straight, turn left, turn right) effectively in complex scenes, such as crossroads. After this procedure, we learn patterns of word sequences in each cluster using Baum-Welch algorithm used to find the unknown parameters in a hidden markov model. Evaluation of abnormality can be done using forward algorithm by comparing learned sequence and input sequence. Results of experiments show that modeling of semantic region is robust against noise in various scene.

Investigation of Ring Artifact Using Algebraic Reconstruction Technique (대수적 재구성 기법을 통한 링 아티팩트 조사)

  • Chon, Kwon Su
    • Journal of the Korean Society of Radiology
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    • v.12 no.1
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    • pp.65-70
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    • 2018
  • Computed tomography system is widely used on various fields because section image of an object can be acquired. During several step to obtain section image, artifacts by many error factors can be added on the image. Ring artifact induced by the CT system is examined in this study. A test phantom of $512{\times}512$ size was constructed numerically, and the ring artifact was investigated by the algebraic reconstruction technique. The computer program was realized using Visual C++ under the fan beam geometry with projections of 720 and detector pixel of 1,280. The generation of ring artifact was verified by applying different detection efficiency on detector pixels. The ring intensity became large as increasing the ring value, and the ring artifacts were strongly emphasized near the center of the reconstructed image. The ring artifact may be eliminated by tracking the position of ring artifact on the reconstructed image and by calibrating the detector pixel.

Detection of Optical Flows on the Trajectories of Feature Points Using the Cellular Nonlinear Neural Networks (셀룰라 비선형 네트워크를 이용한 특징점 궤적 상에서 Optical Flow 검출)

  • Son, Hon-Rak;Kim, Hyeong-Suk
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.6
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    • pp.10-21
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    • 2000
  • The Cellular Noninear Networks structure for Distance Transform(DT) and the robust optical flow detection algorithm based on the DT are proposed. For some applications of optical flows such as target tracking and camera ego-motion computation, correct optical flows at a few feature points are more useful than unreliable one at every pixel point. The proposed algorithm is for detecting the optical flows on the trajectories only of the feature points. The translation lengths and the directions of feature movements are detected on the trajectories of feature points on which Distance Transform Field is developed. The robustness caused from the use of the Distance Transform and the easiness of hardware implementation with local analog circuits are the properties of the proposed structure. To verify the performance of the proposed structure and the algorithm, simulation has been done about various images under different noisy environment.

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Implementation of a Task Level Pipelined Multicomputer RV860-PIPE for Computer Vision Applications (컴퓨터 비젼 응용을 위한 태스크 레벨 파이프라인 멀티컴퓨터 RV860-PIPE의 구현)

  • Lee, Choong-Hwan;Kim, Jun-Sung;Park, Kyu-Ho
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.38-48
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    • 1996
  • We implemented and evaluated the preformance of a task level pipelined multicomputer "RV860-PIPE(Realtime Vision i860 system using PIPEline)" for computer vision applications. RV860-PIPE is a message-passing MIMD computer having ring interconnection network which is appropriate for vision processing. We designed the node computer of RV860-PIPE using a 64-bit microprocessor to have generality and high processing power for various vision algorithms. Furthermore, to reduce the communication overhead between node computers and between node computer and a frame grabber, we designed dedicated high speed communication channels between them. We showed the practical applicability of the implemented system by evaluting performances of various computer vision applications like edge detection, real-time moving object tracking, and real-time face recognition.

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Study on the Brightness Temperature Measurement in the Human Body Using Millimeter-wave Radiometer (밀리미터파 라디오미터를 이용한 인체의 내부 밝기온도 측정에 관한 연구)

  • Jung, Min Kyoo;Kim, Tae Hun;Nah, Seung Wook
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.5
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    • pp.163-167
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    • 2016
  • We have developed a millimeter-wave radiometer system for applications in the fields of medical imaging. In this paper, we introduced the brightness temperature measurement in the human body using Millimeter-wave Radiometer. Calibration of sensitivity of the radiometer system is essential to measure equivalent temperature (brightness temperature) of objects. We have developed, as a calibration source, a new type of black body for the millimeter wave region with temperature control capability. The system noise figure and temperature sensitivity of the system measured using the blackbody are 3.3 dB and 0.1 K, respectively. The brightness temperature of human body through clothes was measured to be around $38^{\circ}$[C].

Microwave Absorbing Characteristics of Silicon carbide-ferrite surface Films Produced by Plasma-spraying(I) (플라즈마 용사방식에 의해 형성된 탄화규소-페라이트 표면층의 마이크로파 흡수특성(I))

  • Shin, Dong-Chan;Son, Hyon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.6
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    • pp.580-588
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    • 1992
  • Plasma-spraying was conducted to produced the microwave absorbing surface films on the alumi-num-alloy used for the fuselage to protect the aircraft against the RADAR detction. The surface films were produced by plasma-splaying the mecharucally mixed composite powders of the silicon carblde and Ni-Zn ferrite. This M /W absorbers were designed experimentally and fabricated trialty, as a result of which the rolative frequency bandwidth of 7.6 to 8.4% were obtained under the tolerance limits of the re-flection coefficients lower than -6dB(absorption ratio 75%), and the maximum absorption thickness becomes 0.5 to 0.5.imm, which Is much thinner than that of the conventional ones.

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SIFT based Image Similarity Search using an Edge Image Pyramid and an Interesting Region Detection (윤곽선 이미지 피라미드와 관심영역 검출을 이용한 SIFT 기반 이미지 유사성 검색)

  • Yu, Seung-Hoon;Kim, Deok-Hwan;Lee, Seok-Lyong;Chung, Chin-Wan;Kim, Sang-Hee
    • Journal of KIISE:Databases
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    • v.35 no.4
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    • pp.345-355
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    • 2008
  • SIFT is popularly used in computer vision application such as object recognition, motion tracking, and 3D reconstruction among various shape descriptors. However, it is not easy to apply SIFT into the image similarity search as it is since it uses many high dimensional keypoint vectors. In this paper, we present a SIFT based image similarity search method using an edge image pyramid and an interesting region detection. The proposed method extracts keypoints, which is invariant to contrast, scale, and rotation of image, by using the edge image pyramid and removes many unnecessary keypoints from the image by using the hough transform. The proposed hough transform can detect objects of ellipse type so that it can be used to find interesting regions. Experimental results demonstrate that the retrieval performance of the proposed method is about 20% better than that of traditional SIFT in average recall.

Fuzzy Navigation and Obstacle Avoidance Control for Docking of Modular Robots (모듈형 로봇의 자가 결합을 위한 퍼지 주행 제어 및 장애물 회피 제어)

  • Na, Doo-Young;Noh, Su-Hee;Moon, Hyung-Pil;Jung, Jin-Woo;Kim, Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.470-477
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    • 2009
  • Modular reconfigurable robots with physical docking capability easily adapt to a new environment and many studies are necessary for the modular robots. In this paper, we propose a vision-based fuzzy autonomous docking controller for the modular docking robots. A modular docking robot platform which performs real-time image processing is designed and color-based object recognition method is implemented on the embedded system. The docking robot can navigate to a subgoal near a target robot while avoiding obstacles. Both a fuzzy obstacle avoidance controller and a fuzzy navigation controller for subgoal tracking are designed. We propose an autonomous docking controller using the fuzzy obstacle avoidance and navigation controllers, absolute distance information and direction informations of robots from PSD sensors and a compass sensor. We verify the proposed docking control method by docking experiments of the developed modular robots in the various environments with different distances and directions between robots.