• Title/Summary/Keyword: 실시간추적

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Study on Underwater Object Tracking Based on Real-Time Recurrent Regression Networks Using Multi-beam Sonar Images (실시간 순환 신경망 기반의 멀티빔 소나 이미지를 이용한 수중 물체의 추적에 관한 연구)

  • Lee, Eon-ho;Lee, Yeongjun;Choi, Jinwoo;Lee, Sejin
    • The Journal of Korea Robotics Society
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    • v.15 no.1
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    • pp.8-15
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    • 2020
  • This research is a case study of underwater object tracking based on real-time recurrent regression networks (Re3). Re3 has the concept of generic object tracking. Because of these characteristics, it is very effective to apply this model to unclear underwater sonar images. The model also an pursues object tracking method, thus it solves the problem of calculating load that may be limited when object detection models are used, unlike the tracking models. The model is also highly intuitive, so it has excellent continuity of tracking even if the object being tracked temporarily becomes partially occluded or faded. There are 4 types of the dataset using multi-beam sonar images: including (a) dummy object floated at the testbed; (b) dummy object settled at the bottom of the sea; (c) tire object settled at the bottom of the testbed; (d) multi-objects settled at the bottom of the testbed. For this study, the experiments were conducted to obtain underwater sonar images from the sea and underwater testbed, and the validity of using noisy underwater sonar images was tested to be able to track objects robustly.

Conceptual Design of Cylindrical Hydrophone Arrays for Stabilization of Receiving Characteristics under Ocean Ambient Noise (해양 배경 소음 하의 수신 특성 안정화를 위한 원통형 하이드로폰 배열의 개념 설계)

  • Noh, Eunghwy;Lee, Hunki;Ohm, Won-Suk;Chang, Woosuk
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.3
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    • pp.200-209
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    • 2015
  • An underwater sound surveillance system detects and tracks enemy ships in real-time using hydrophone arrays, in which seabed-mounted sensor arrays play a pivotal role. In this paper the conceptual design of seabed-mounted, cylindrical hydrophone arrays for use in shallow coastal waters is performed via finite element calculations. To stabilize the receiving characteristics under the ocean ambient noise, a technique for whitening the ambient noise spectrum using a metal baffle is proposed. Optimization of the array configuration is performed to achieve the directivity in the vertical and azimuthal directions. And the effects of the sonar dome shape and material on the structural vibration and sound scattering properties are studied. It is demonstrated that a robust hydrophone array, having a sensitivity deviation less than 4 dB over the frequency range of interest, can be obtained through the whitening of the ambient noise, the optimization of the array configuration, and the design of acoustically transparent sonar domes.

A Non-invasive Real-time Respiratory Organ Motion Tracking System for Image Guided Radio-Therapy (IGRT를 위한 비침습적인 호흡에 의한 장기 움직임 실시간 추적시스템)

  • Kim, Yoon-Jong;Yoon, Uei-Joong
    • Journal of Biomedical Engineering Research
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    • v.28 no.5
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    • pp.676-683
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    • 2007
  • A non-invasive respiratory gated radiotherapy system like those based on external anatomic motion gives better comfortableness to patients than invasive system on treatment. However, higher correlation between the external and internal anatomic motion is required to increase the effectiveness of non-invasive respiratory gated radiotherapy. Both of invasive and non-invasive methods need to track the internal anatomy with the higher precision and rapid response. Especially, the non-invasive method has more difficulty to track the target position successively because of using only image processing. So we developed the system to track the motion for a non-invasive respiratory gated system to accurately find the dynamic position of internal structures such as the diaphragm and tumor. The respiratory organ motion tracking apparatus consists of an image capture board, a fluoroscopy system and a processing computer. After the image board grabs the motion of internal anatomy through the fluoroscopy system, the computer acquires the organ motion tracking data by image processing without any additional physical markers. The patients breathe freely without any forced breath control and coaching, when this experiment was performed. The developed pattern-recognition software could extract the target motion signal in real-time from the acquired fluoroscopic images. The range of mean deviations between the real and acquired target positions was measured for some sample structures in an anatomical model phantom. The mean and max deviation between the real and acquired positions were less than 1mm and 2mm respectively with the standardized movement using a moving stage and an anatomical model phantom. Under the real human body, the mean and maximum distance of the peak to trough was measured 23.5mm and 55.1mm respectively for 13 patients' diaphragm motion. The acquired respiration profile showed that human expiration period was longer than the inspiration period. The above results could be applied to respiratory-gated radiotherapy.

A Study on the control of lights for BEMS using Adaptive GMM (Adaptive GMM을 활용한 BEMS용 조명제어 연구)

  • Ko, Kwangseok;Lee, Juyoung;Kang, Yongsik;Shim, Dongha;Kim, Jaemoon;Kim, Eunsoo;Lee, Jongsung;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.7 no.3
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    • pp.116-120
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    • 2012
  • There has been increased interest for building energy-saving for worldwide. There is continuing research on IT technology for efficient management of BEMS. Recently, It be able to control of LED and to maximize energy savings to the development of LED lighting technology. We propose the security image processing system to improve efficiency and we implement the real-time status monitoring system to surveil the object in the building energy management system. In this paper, we proposed the system of LED control using IP camera and Adaptive Gaussian Mixture Model for BEMS. We implement LED light control software on the based of the security camera image processing so the reliable controling based on the security camera is possible efficiently.

The efficient IR-UWB Radar System for Reflective Wave Removal in a Short Distance Environments (근거리 환경에서 반사파 제거를 위한 효율적인 IR-UWB Radar 시스템)

  • Kim, Sueng-Woo;Jeong, Won-Ho;Yeo, Bong-Gu;Kim, Kyung-Seok
    • Journal of Satellite, Information and Communications
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    • v.12 no.1
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    • pp.64-71
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    • 2017
  • In this paper, Kalman filter and RRWA algorithm are used to estimate the accurate target in IR-UWB (Impulse-Radio Ultra Wideband) radar system, which enables accurate location recognition of indoors and outdoors with low cost and low power consumption. In the signal reflected by the target, unnecessary signals exist in addition to the target signal. We have tried to remove unnecessary signals and to derive accurate target signals and improve performance. The location of the targets is estimated in real time with one transmitting antenna and one receiving antenna. The Kalman filter was used to remove the background noise and the RRWA algorithm was used to remove the reflected signal. In this paper, we think that it will be useful to study the accurate distance estimation and tracking in future target estimation.

Improved RFID Authentication Protocol using Hash Lock (해쉬락을 이용한 개선된 RFID 인증 프로토콜)

  • Bae Woo-Sik;Jang Gun-Oh;Han Kun-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.4
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    • pp.635-641
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    • 2006
  • On the wireless-communication between Electronic Tag of RFID system and Reader, there are some existing problems with weaknesses of security such as spoofing, replay, traffic analysis, position tracking, etc., in the established hash-lock related algorithm. This paper has presented the comparison and analysis of the established hash-lock related algorithm for privacy and in order to make up for this, also suggested a new security authentication algorithm based on hash which has an authentication protocol and creates hash function by using random numbers received from the reader on real-time and every session. The algorithm suggested is able to make RFID wireless authentication system offer a several of usefulness and it has an advantage to reduce the amount of calculations compared to established algorithm. It also uses just the tags needed among a lot of tags around which are expected later and it is expected to reduce a responsibility of the server by ending unnecessary tags' action with time based.

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Wide FOV Panorama Image Acquisition Method (광각 파노라마 영상획득 방법)

  • Kim, Soon-Cheol;Yi, Soo-Yeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2117-2122
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    • 2015
  • Wide FOV(Field-of-View) is required to contain much more visual information in a single image. The wide FOV imaging system has many industrial applications such as surveillance, security, tele-conference, and mobile robots. In order to obtain a wide FOV panorama image, an imaging system with hyperbolic cylinder mirror is proposed in this paper. Because the horizontal FOV is more important than the vertical FOV in general, a hyperbolic cylinder mirror is designed in this paper, that has a hyperbolic curve in the horizontal surface and is the same as a planar mirror in the vertical axis. Imaging model of the proposed imaging system is presented by ray tracing method and the hyperbolic cylinder mirror is implemented. The imaging performance of wide FOV is verified by experiments in this paper. This imaging system is cost-effective and is possible to acquire a wide panorama image having 210 degree horizontal FOV in real-time without an extra image processing.

Minimizing Position Error in a Car Navigation System by fusing GPS and Dead-Reckoning (Car Navigation System에서 GPS와 추측항법을 결합한 위치오차의 최소화에 관한 연구)

  • Lee, Hyuck-Joong;Lee, Chang-Ho;Kim, Kwang-Ik
    • Journal of Korean Society for Geospatial Information Science
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    • v.2 no.2 s.4
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    • pp.81-88
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    • 1994
  • The CNS(Car Navigation System) is used more generally in driver aid system than ALV(Auto nomous Land Vehicle) research area. In this paper we developed a new position tracking algorithm for the Global Path Planning in the CNS. In japan, CNS is already well developed and, thesedays they sell CNS products about $400{\sim}500$ thousands per year, and USA and European Communications(EC), too. In Korea, studies of the first generation CNS, which finds current location of a navigating vehicle and displays its location in a Digital-Map with real-time are progressing but still in the beginning step. Therefore a new position tracking algorithm is presented, which reduces vehicle position error dramatically by fusing GPS and dead-reckoning sensors. And the validity of our algorithm is demonstrated by the experimental results with the real car.

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Design and Development of the Multiple Kinect Sensor-based Exercise Pose Estimation System (다중 키넥트 센서 기반의 운동 자세 추정 시스템 설계 및 구현)

  • Cho, Yongjoo;Park, Kyoung Shin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.558-567
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    • 2017
  • In this research, we developed an efficient real-time human exercise pose estimation system using multiple Kinects. The main objective of this system is to measure and recognize the user's posture (such as knee curl or lunge) more accurately by employing Kinects on the front and the sides. Especially it is designed as an extensible and modular method which enables to support various additional postures in the future. This system is configured as multiple clients and the Unity3D server. The client processes Kinect skeleton data and send to the server. The server performs the multiple-Kinect calibration process and then applies the pose estimation algorithm based on the Kinect-based posture recognition model using feature extractions and the weighted averaging of feature values for different Kinects. This paper presents the design and implementation of the human exercise pose estimation system using multiple Kinects and also describes how to build and execute an interactive Unity3D exergame.

Approximate Front Face Image Detection Using Facial Feature Points (얼굴 특징점들을 이용한 근사 정면 얼굴 영상 검출)

  • Kim, Su-jin;Jeong, Yong-seok;Oh, Jeong-su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.675-678
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    • 2018
  • Since the face has a unique property to identify human, the face recognition is actively used in a security area and an authentication area such as access control, criminal search, and CCTV. The frontal face image has the most face information. Therefore, it is necessary to acquire the front face image as much as possible for face recognition. In this study, the face region is detected using the Adaboost algorithm using Haar-like feature and tracks it using the mean-shifting algorithm. Then, the feature points of the facial elements such as the eyes and the mouth are extracted from the face region, and the ratio of the two eyes and degree of rotation of the face is calculated using their geographical information, and the approximate front face image is presented in real time.

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