• Title/Summary/Keyword: Camera Movement

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A Basic Study on Temperature Characteristic Analysis of Taekgyeon Motion by Infrared Rays Camera (열화상 카메라를 이용한 택견 동작의 온도 특성 분석 기초 연구)

  • Lee, Gyuseon;Nam, Joong Woong;Seok, Kang Hoon;Kim, Jeongbae
    • Journal of Institute of Convergence Technology
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    • v.2 no.1
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    • pp.31-37
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    • 2012
  • The purpose of this study is to visually confirm on variation of temperature changes according to the basic of Taekgyoen by using infrared rays camera and to obtain difference of temperature distribution according to the warm up procedure. We selected randomly two Taekgyeon players, and recorded twice continuously their actions of three basic motions of Taekgyeon. In other to obtain effect of warm up procedure, we recorded again their actions including warm-up motions. Four measuring points on the body were selected in each motion considering the error on continuous recoding. Temperature distributions of the before and after warming up procedure were analyzed at two measuring point. Temperature distributions of skin of players body in two cases are shown a similar tendency. It can be predicted that the parts of large physical movement result in the large changes of temperature according to the warm up motion.

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Interactive Pixel-unit AR Lip Makeup System Using RGB Camera

  • Nam, Hyeongil;Lee, Jeongeun;Park, Jong-Il
    • Journal of Broadcast Engineering
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    • v.25 no.7
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    • pp.1042-1051
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    • 2020
  • In this paper, we propose an AR (Augmented Reality) lip makeup using bare hands interactively using an RGB camera. Unlike previous interactive makeup studies, this interactive lip makeup system is based on an RGB camera. Also, the system controls the makeup area in pixels, not in polygon-units. For pixel-unit controlling, the system also proposed a 'Rendering Map' that can store the relative position of the touched hand relative to the lip landmarks. With the map, the part to be changed in color can be specified in the current frame. And the lip color of the corresponding area is adjusted, even if the movement of the face changes in the next frame. Through user experiments, we compare quantitatively and qualitatively our makeup method with the conventional polygon-unit method. Experimental results demonstrate that the proposed method enhances the quality of makeup with a little sacrifice of computational complexity. It is confirmed that natural makeup similar to the actual lip makeup is possible by dividing the lip area into more detailed areas. Furthermore, the method can be applied to make the face makeup of other areas more realistic.

A Study on Moving Object Recognition and Tracking in Unmanned Aerial Camera (공중 무인감시 카메라의 이동물체 인식 및 추적에 관한 연구)

  • Park, Jong-Oh;Kim, Young-Min;Lee, Jong-Keuk
    • Journal of Korea Multimedia Society
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    • v.13 no.5
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    • pp.684-690
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    • 2010
  • Digitalized Image Information is variously used like to substitute or help human's visual ability. Unmanned observation Camera is useful for the preventing disaster, risk factor and object observation but it is mostly to depend on awareness for human's vision. The purpose of this paper is to show that Unmanned Aerial Camera carries out object recognition and autonomous position tracking. when the informations about a specific object are given. For this purpose, we have to solve complicated problems like change according to object movement and variation of color and brightness information with refraction, interference and scattering of light and noise from environmental factors like weather. But, as the first step we limit the scope of this study with simplified environment in this paper. Our goal is the study and experience about object recognition and tracking via simplified environment with unmanned aerial camera. We obtained successful results of this study and experiment.

A Study on Depth Information Acquisition Improved by Gradual Pixel Bundling Method at TOF Image Sensor

  • Kwon, Soon Chul;Chae, Ho Byung;Lee, Sung Jin;Son, Kwang Chul;Lee, Seung Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.7 no.1
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    • pp.15-19
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    • 2015
  • The depth information of an image is used in a variety of applications including 2D/3D conversion, multi-view extraction, modeling, depth keying, etc. There are various methods to acquire depth information, such as the method to use a stereo camera, the method to use the depth camera of flight time (TOF) method, the method to use 3D modeling software, the method to use 3D scanner and the method to use a structured light just like Microsoft's Kinect. In particular, the depth camera of TOF method measures the distance using infrared light, whereas TOF sensor depends on the sensitivity of optical light of an image sensor (CCD/CMOS). Thus, it is mandatory for the existing image sensors to get an infrared light image by bundling several pixels; these requirements generate a phenomenon to reduce the resolution of an image. This thesis proposed a measure to acquire a high-resolution image through gradual area movement while acquiring a low-resolution image through pixel bundling method. From this measure, one can obtain an effect of acquiring image information in which illumination intensity (lux) and resolution were improved without increasing the performance of an image sensor since the image resolution is not improved as resolving a low-illumination intensity (lux) in accordance with the gradual pixel bundling algorithm.

Vision-based recognition of a simple non-verbal intent representation by head movements (고개운동에 의한 단순 비언어 의사표현의 비전인식)

  • Yu, Gi-Ho;No, Deok-Su;Lee, Seong-Cheol
    • Journal of the Ergonomics Society of Korea
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    • v.19 no.1
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    • pp.91-100
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    • 2000
  • In this paper the intent recognition system which recognizes the human's head movements as a simple non-verbal intent representation is presented. The system recognizes five basic intent representations. i.e., strong/weak affirmation. strong/weak negation, and ambiguity by image processing of nodding or shaking movements of head. The vision system for tracking the head movements is composed of CCD camera, image processing board and personal computer. The modified template matching method which replaces the reference image with the searched target image in the previous step is used for the robust tracking of the head movements. For the improvement of the processing speed, the searching is performed in the pyramid representation of the original image. By inspecting the variance of the head movement trajectories. we can recognizes the two basic intent representations - affirmation and negation. Also, by focusing the speed of the head movements, we can see the possibility which recognizes the strength of the intent representation.

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The Effect of Differential Medial and Lateral Midsole Hardness on Rearfoot Movement (운동화 후족의 내외측 경도차에 따른 후족 제어의 효과)

  • Bu, Jin-Hu;Lee, Dong-Chun
    • Journal of the Ergonomics Society of Korea
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    • v.20 no.1
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    • pp.63-72
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    • 2001
  • Rearfoot control can be defined as the relative ability of a shoe to limit the amount of subtalar joint pronation immediately following footstrike. A normal amount of pronation provides a means of decreasing peak forces experienced by the leg, but excessive pronation of the foot can be arised its injures. The purpose of this study is to compare amount of pronation according to a difference between medial and later hardness of shoe midsole for better design of running shops. The experiment is examined for 7 running shoes. 8 males. to measure the Achilles tendon angle and rearfoot angle using high speed camera. The results is conducted that the changes of Achilles tendon angle significantly differ at each test shoe with increased running speed. And, a difference between medial and lateral hardness of midsole affects rearfoot motion of runner. The displacements of maximal Achilles tendon angle described a amount of pronation motion is decreased when medial hardness of midsole is large more than lateral.

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A Performance Evaluation of Sensor Type Sun Tracking System (센서식 태양추적시스템의 추적정밀도 평가)

  • Park, Y.C.;Kang, Y.H.
    • Journal of the Korean Solar Energy Society
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    • v.21 no.4
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    • pp.55-62
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    • 2001
  • A parabolic dish concentrator used in a high temperature application of solar energy tracks the sun's movement by two axis sun tracking system. In such a system, sun tracking performance affects the system efficiency directly. Generally the higher the tracking accuracy is, the better the system performance is. A large number of parabolic dish type concentrators has been developed and implemented in the world. However none of them clearly provided a qualitative method of how the accuracy of the sun tracking system can be evaluated. The work presented here is the evaluation of sun tracking performance of parabolic dish concentrator, which follows the sun's movement by the sensor, using a computer vision system. We install a camera on the parabolic dish concentrator. While the concentrator follows the sun, sun's images are captured continuously. Then the performance of sun tracking system was evaluated by analyzing the variation of the position of the sun in the captured images.

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Detection of AGV's position and orientation using laser slit beam (회전 Laser 슬릿 빔을 이용한 AGV의 위치 및 자세의 검출)

  • 박건국;김선호;박경택;안중환
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2000.11a
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    • pp.219-225
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    • 2000
  • The major movement block of the containers have range between apron and designation points on yard in container terminal. The yard tractor operated by human takes charge of its movement in conventional container terminal. In automated container terminal, AGV(Automated Guided Vehicle) has charge of the yard tractor's role and the navigation path is ordered from upper level control system. The automated container terminal facilities must have the docking system to guide landing line to have high speed travelling and precision positioning. The general method for docking system uses the vision system with CCD camera, infra red, and laser. This paper describes the detection of AGV's position and orientation using laser slit beam to develop docking system.

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Measurement of position based on correlative function in self-movement

  • Amano, Naoki;Hashimoto, Hiroshi;Higashiguchi, Minoru
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.601-604
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    • 1994
  • This paper describes an effective method to estimate a position of an automous vehicle equipped with a single CCD-camera along indoor passageways. Using the sequential image data from the self-movement of the vehicle, the position is estimated by integrating the approximated motion parameters. The detection of the yaw angle that is one of the motion parameter is difficult in general, e.g. slip or error for noise, therefore the different detection is presented, which is, without shaft encoders, based on a projection function for 2D-image data and a cross-correlation function so as to be robust for noise. The approximated geometric function to estimate the position is used to reduce the computational effort. To verify the effectiveness of the method, the analysis and the computational results are shown through the simulations. Furthermore, the experimental results by using the test vehicle for the real indoor passageway are shown.

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Visibility Sensor with Stereo Infrared Light Sources for Mobile Robot Motion Estimation (주행 로봇 움직임 추정용 스테레오 적외선 조명 기반 Visibility 센서)

  • Lee, Min-Young;Lee, Soo-Yong
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.2
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    • pp.108-115
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    • 2011
  • This paper describes a new sensor system for mobile robot motion estimation using stereo infrared light sources and a camera. Visibility is being applied to robotic obstacle avoidance path planning and localization. Using simple visibility computation, the environment is partitioned into many visibility sectors. Based on the recognized edges, the sector a robot belongs to is identified and this greatly reduces the search area for localization. Geometric modeling of the vision system enables the estimation of the characteristic pixel position with respect to the robot movement. Finite difference analysis is used for incremental movement and the error sources are investigated. With two characteristic points in the image such as vertices, the robot position and orientation are successfully estimated.