• Title/Summary/Keyword: body tracking

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Production of Laser Welded Tube for Automobile Bumper Beam from 60kgf/$\textrm{mm}^2$Grade Steel Sheet (60kgf/$\textrm{mm}^2$급 자동차 범퍼빔용 레이저 용접 튜브 제조기술 및 장치연구)

  • Seo, Jung;Lee, Je-Hoon;Kim, Jong-Soo;Kim, Jung-O;Kang, Hee-Sin;Lee, Moon-Yong;Jung, Byung-Hoon
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.7
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    • pp.136-144
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    • 2004
  • Optimal process and system to produce the laser welded tube for one body formed bumper beam are studied. The calculated size of tube is a thickness of 1.4mm, diameter of 105.4mm and length of 2000mm. The tube is shaped from a cold rolled high strength steel sheet(tensile strength: 60kgf/$\textrm{mm}^2$ grade). Two roll bending method is the optimal tube shaping process compared to UO-bending, bending on press brake, multi-step continuous roll forming and 3 roll bending methods. Weld quality monitoring and seam tracking along the butt-joint lengthwise to the tube axis are also studied. The longitudinal butt-joint is welded by the $CO_2$ laser welding system equipped with a seam tracker and plasma sensor. The constructed $CO_2$laser tube welding system can be used for the precision seam tracking and the real-time monitoring of weld quality. Finally, the obtained laser welded tube can be used for one-body formed automobile bumper beam.

Cross-covariance 3D Coordinate Estimation Method for Virtual Space Movement Platform (가상공간 이동플랫폼을 위한 교차 공분산 3D 좌표 추정 방법)

  • Jung, HaHyoung;Park, Jinha;Kim, Min Kyoung;Chang, Min Hyuk
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.5
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    • pp.41-48
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    • 2020
  • Recently, as the demand for the mobile platform market in the virtual/augmented/mixed reality field is increasing, experiential content that gives users a real-world felt through a virtual environment is drawing attention. In this paper, as a method of tracking a tracker for user location estimation in a virtual space movement platform for motion capture of trainees, we present a method of estimating 3D coordinates of the 3D cross covariance through the coordinates of the markers projected on the image. In addition, the validity of the proposed algorithm is verified through rigid body tracking experiments.

Articulated Human Body Tracking Using Belief Propagation with Disparity Map (신뢰 전파와 디스패리티 맵을 사용한 다관절체 사람 추적)

  • Yoon, Kwang-Jin;Kim, Tae-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.3
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    • pp.51-59
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    • 2012
  • This paper suggests an efficient method which tracks articulated human body modeled with markov network using disparity map derived from stereo images. The conventional methods which only use color information to calculate likelihood for energy function tend to fail when background has same colors with objects or appearances of object are changed during the movement. In this paper, we present a method evaluating likelihood with both disparity information and color information to find human body parts. Since the human body part are cylinder projected to rectangles in 2D image plane, we use the properties of distribution of disparity of those rectangles that do not have discontinuous distribution. In addition to that we suggest a conditional-messages-update that is able to reduce unnecessary message update of belief propagation. Since the message update has comprised over 80% of the whole computation in belief propagation, the conditional-message-update yields 9~45% of improvements of computational time. Furthermore, we also propose an another speed up method called three dimensional dynamic models assumed the body motion is continuous. The experiment results show that the proposed method reduces the computational time as well as it increases tracking accuracy.

Static Walking Algorithm for a Quadruped Robot using Tilting (틸팅을 이용한 4족 보행 로봇의 정적 보행 알고리즘)

  • Lee, Sun-Geol;Jo, Chang-Hyeon;Kim, Byeong-Su
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.8
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    • pp.675-679
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    • 2001
  • This paper presents walking algorithm for a quadruped robot that does not have an upper body. Tilting motion is added to the planned walking trajectory instead of using an extra body segment that is independent on walking trajectory. Area and tracking algorithms are proposed as tilting method and compared with that of off-line tilting and that of no tilting. Computer simulation shows that stability of tilted walking is more improved than that of the usual walking algorithm for general walking paths. It also shows that the tracking method guarantees stability and best mobility.

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Development of 3D Laser Welding Technology for Automobile body (자동차 차체 3차원 레이저 용접기술 개발)

  • Jeong, Byeong-Hun;Lee, Mun-Yong;Seo, Jeong;Gang, Hui-Sin
    • Proceedings of the KWS Conference
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    • 2005.06a
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    • pp.103-105
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    • 2005
  • Laser welding technology for automobile body is studied. laser system, robot and seam tracking system are used for 3D laser welding system The laser system is used 4kW Nd:YAG laser(HL4006D) of Trumpf and the robot system is used IRB6400R of ABB. The seam tracking system is SMRT-20LS of ServoRobot. The welding joints of steel plate are butt and lap joint. The 3-D welding for non-linear tailored blank is performed after experiments of bead on plate. Finally, the welding process for non-linear tailored blank is developed.

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Signalman Action Analysis for Container Crane Controlling

  • Bae, Suk-Tae
    • Journal of Korea Multimedia Society
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    • v.12 no.12
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    • pp.1728-1735
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    • 2009
  • Human action tracking plays an important place in human-computer-interaction, human action tracking is a challenging task because of the exponentially increased computational complexity in terms of the degrees of freedom of the object and the severe image ambiguities incurred by frequent self-occlusions. In this paper, we will propose a novel method to track human action, in our technique, a dynamic background estimation algorithm will be applied firstly. Based on the estimated background, we then extract the human object from the video sequence, and the skeletonization method and Hough transform method will be used to detect the main structure of human body and each part rotation angle. The calculated rotation angles will be used to control a crane in the port, thus we can just control the container crane by using signalman body. And the experimental results can show that our proposed method can get a preferable result than the conventional methods such as: MIT, JPF or MFMC.

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Accuracy Evaluation of CyberKnife $Synchrony^{TM}$ Respiratory Tracking System Using Phantom (Phantom을 이용한 사이버나이프 $Synchrony^{TM}$ 호흡 추적장치의 정확성 평가)

  • Kim, Gha-Jung;Bae, Seok-Hwan;Lim, Chang-Seon;Kim, Chong-Yeal
    • Journal of Radiation Protection and Research
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    • v.34 no.3
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    • pp.137-143
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    • 2009
  • This study was conducted to evaluate the accuracy of CyberKnife $Synchrony^{TM}$ respiratory tracking system which was applied to Stereotactic Radiosurgery (SRS) for moving tumors in chest and abdomen with breathing motion. For accurate evaluation, gold fiducial marks were implanted into a moving phantom. The moving phantom was a cube imbedding an acryl ball as a target. The acryl ball was prescribed to 20 Gy at 70% of isodose curve in a virtual treatment and radiochromic films were inserted into the acryl ball for dose verification and tracking accuracy evaluation. The evaluation of position tracking consists of two parts: fiducial mark tracking in a stationary phantom and $Synchrony^{TM}$ respiratory tracking in a moving phantom. Each measurement was done in three directions and was repeated to 5 times. Range of position error was 0.1957 mm to 0.6520 mm in the stationary phantom and 0.4405 mm to 0.7665 mm in the moving phantom. Average position error was 0.3926 mm and 0.5673 mm in the stationary phantom and the moving phantom respectively. This study evaluates the accuracy of CyberKnife $Synchrony^{TM}$ Respiratory tracking system, and confirms the usefulness when it's used for Stereotactic Radiosurgery of body organs.

Pictorial Model of Upper Body based Pose Recognition and Particle Filter Tracking (그림모델과 파티클필터를 이용한 인간 정면 상반신 포즈 인식)

  • Oh, Chi-Min;Islam, Md. Zahidul;Kim, Min-Wook;Lee, Chil-Woo
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.186-192
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    • 2009
  • In this paper, we represent the recognition method for human frontal upper body pose. In HCI(Human Computer Interaction) and HRI(Human Robot Interaction) when a interaction is established the human has usually frontal direction to the robot or computer and use hand gestures then we decide to focus on human frontal upper-body pose, The two main difficulties are firstly human pose is consist of many parts which cause high DOF(Degree Of Freedom) then the modeling of human pose is difficult. Secondly the matching between image features and modeling information is difficult. Then using Pictorial Model we model the human main poses which are mainly took the space of frontal upper-body poses and we recognize the main poses by making main pose database. using determined main pose we used the model parameters for particle filter which predicts the posterior distribution for pose parameters and can determine more specific pose by updating model parameters from the particle having the maximum likelihood. Therefore based on recognizing main poses and tracking the specific pose we recognize the human frontal upper body poses.

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Automatic Detecting and Tracking Algorithm of Joint of Human Body using Human Ratio (인체 비율을 이용한 인체의 조인트 자동 검출 및 객체 추적 알고리즘)

  • Kwak, Nae-Joung;Song, Teuk-Seob
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.215-224
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    • 2011
  • There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.

Microsoft-Kinect Sensor utilizing People Tracking System (Microsoft-Kinect 센서를 활용한 화자추적 시스템)

  • Ban, Tae-Hak;Lee, Sang-Won;Kim, Jae-Min;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.611-613
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    • 2015
  • Multimedia classroom teaching as well as the automatic tracking of the camera are automatically saved track to be saved. The existing tracking system is attached to the body by a separate sensor to track or on the front of the sensor to the construction of the track was a hit at the same time in front of the discomfort caused by tracking errors when I had an issue that shouldn't be. In this paper, Microsoft-Kinect sensor, using the speaker's position and behavior analysis (instructor), and PTZ cameras, recording systems, storage classes and lectures with classroom lessons can be effective at the time of recording to the content production about the technology of unmanned speaker tracking solution.

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