• Title/Summary/Keyword: Motion-Capture

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Real-time Marker-free Motion Capture System to Create a 3D Virtual Human Model (3차원 가상 인체 생성을 위한 실시간 마커프리 모션캡쳐 시스템)

  • 김성은;이란희;박창준;이인호
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.05d
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    • pp.1093-1098
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    • 2002
  • 본 연구실에서 개발한 MIMIC(Motion Interface & Motion Information Capture system)은 동작자의 동작을 획득하고, 동작의 의미를 이해할 수 있도록 설계된 시스템이다. 비전 센서로부터 입력된 영상을 분석하여 동작자의 머리와 두 손, 두 발의 정보를 찾는다. 그리고, 이 정보를 기반으로 팔꿈치나 무릎 등의 중간 관절을 추정한 후 20개의 관절을 가지는 3차원 인체 모델을 구성한다. 이 인체 모델은 동작자의 동작을 실시간으로 흉내낸다. 그러므로, 기존의 마커프리 모션캡쳐 시스템과 달리 완벽한 인체를 구성하기 위한 중간 관절까지 생성함으로써 동작자의 동작을 더욱 자연스럽게 구현할 수 있다.

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Documentation of Intangible Cultural Heritage Using Motion Capture Technology Focusing on the documentation of Seungmu, Salpuri and Taepyeongmu (부록 3. 모션캡쳐를 이용한 무형문화재의 기록작성 - 국가지정 중요무형문화재 승무·살풀이·태평무를 중심으로 -)

  • Park, Weonmo;Go, Jungil;Kim, Yongsuk
    • Korean Journal of Heritage: History & Science
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    • v.39
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    • pp.351-378
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    • 2006
  • With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.

Detecting Collisions in Graph-Driven Motion Synthesis for Crowd Simulation (군중 시뮬레이션을 위한 그래프기반 모션합성에서의 충돌감지)

  • Sung, Man-Kyu
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.1
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    • pp.44-52
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    • 2008
  • In this paper we consider detecting collisions between characters whose motion is specified by motion capture data. Since we are targeting on massive crowd simulation, we only consider rough collisions, modeling the characters as a disk in the floor plane. To provide efficient collision detection, we introduce a hierarchical bounding volume, the Motion Oriented Bounding Box tree (MOBB tree). A MOBBtree stores space-time bounds of a motion clip. In crowd animation tests, MOBB trees performance improvements ranging between two and an order of magnitude.

A Study on Comparing algorithms for Boxing Motion Recognition (권투 모션 인식을 위한 알고리즘 비교 연구)

  • Han, Chang-Ho;Kim, Soon-Chul;Oh, Choon-Suk;Ryu, Young-Kee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.6
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    • pp.111-117
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    • 2008
  • In this paper, we describes the boxing motion recognition which is used in the part of games, animation. To recognize the boxing motion, we have used two algorithms, one is principle component analysis, the other is dynamic time warping algorithm. PCA is the simplest of the true eigenvector-based multivariate analyses and often used to reduce multidimensional data sets to lower dimensions for analysis. DTW is an algorithm for measuring similarity between two sequences which may vary in time or speed. We introduce and compare PCA and DTW algorithms respectively. We implemented the recognition of boxing motion on the motion capture system which is developed in out research, and depict the system also. The motion graph will be created by boxing motion data which is acquired from motion capture system, and will be normalized in a process. The result has implemented in the motion recognition system with five actors, and showed the performance of the recognition.

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Parametrized Construction of Virtual Drivers' Reach Motion to Seat Belt (매개변수로 제어가능한 운전자의 안전벨트 뻗침 모션 생성)

  • Seo, Hye-Won;Cordier, Frederic;Choi, Woo-Jin;Choi, Hyung-Yun
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.4
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    • pp.249-259
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    • 2011
  • In this paper we present our work on the parameterized construction of virtual drivers' reach motion to seat belt, by using motion capture data. A user can generate a new reach motion by controlling a number of parameters. We approach the problem by using multiple sets of example reach motions and learning the relation between the labeling parameters and the motion data. The work is composed of three tasks. First, we construct a motion database using multiple sets of labeled motion clips obtained by using a motion capture device. This involves removing the redundancy of each motion clip by using PCA (Principal Component Analysis), and establishing temporal correspondence among different motion clips by automatic segmentation and piecewise time warping of each clip. Next, we compute motion blending functions by learning the relation between labeling parameters (age, hip base point (HBP), and height) and the motion parameters as represented by a set of PC coefficients. During runtime, on-line motion synthesis is accomplished by evaluating the motion blending function from the user-supplied control parameters.

A Study on the Sensor Calibration of Motion Capture System using PSD Sensor to Improve the Accuracy (PSD 센서를 이용한 모션캡쳐센서의 정밀도 향상을 위한 보정에 관한 연구)

  • Choi, Hun-Il;Jo, Yong-Jun;Ryu, Young-Kee
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.583-585
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    • 2004
  • In this paper we will deal with a calibration method for low cost motion capture system using psd(position sensitive detection) optical sensor. To measure the incident direction of the light from LED emitted marker, the PSD is used the output current ratio on the electrode of PSD is proportional with the incident position of the light focused by lens. In order to defect the direction of the light, the current output is converted into digital voltage value by opamp circuits peak detector and AD converter with the digital value the incident position is measured. Unfortunately, due to the non-linearly problem of the circuit poor position accuracy is shown. To overcome such problems, we compensated the non-linearly by using least-square fitting method. After compensated the non-linearly in the circuit, the system showed more enhanced position accuracy.

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Posture Symmetry based Motion Capture System for Analysis of Lower -limbs Rehabilitation Training

  • Lee, Seok-Jun;Jung, Soon-Ki
    • Journal of Korea Multimedia Society
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    • v.14 no.12
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    • pp.1517-1527
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    • 2011
  • This paper presents a motion capture based rehabilitation training system for a lower-limb paretic patient. The system evaluates the rehabilitation status of the patient by using the bend posture of the knees and the weight balance of the body. The posture of both legs is captured with a single camera using the planar mirror. The weight distribution is obtained by the Wii Balance Board. Self-occlusion problem in the tracking of the legs is resolved by using k-nearest neighbor based clustering with body symmetry and local-linearity of the posture data. To do this, we present data normalization and its symmetric property in the normalized vector space.

A Study on the Development of Skateboard by Motion Capture and Theory of Inventive Problem Solving (TRIZ) (창의적 문제 해결이론(트리즈)과 모션캡쳐를 이용한 스케이트보드 개발)

  • Yoo, Byung-Chul;Lee, Kun-Sang
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.7 s.196
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    • pp.83-89
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    • 2007
  • This paper represents a study on the development of the conceptual design for a skateboard by TRIZ. At first the problems of a commercial skateboard was analyzed. And its development objective was defined in connection with the theory of the system improvement trend. The developed conceptual design was compared with a commercial skateboard. The skateboard riding action analysis with a motion capture equipment shows the here developed skateboard more efficient than commercial one.

The Development of Skateboard for Motion capture (모션 캡쳐를 활용한 스케이트보드 개발)

  • Choi J.H.;Yoo B.C.;Lee K.S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.1029-1032
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    • 2005
  • This paper represents a study on the development of the conceptual design for the Skateboard by TRIZ. At first the problems of the Skateboard of the commercial Skateboard was analyzed. And its development object was defined in connection with the Improvement direction. The developed conceptual design was compared with the registered patents and practical new devices at the Korea Industrial Property Office. The Comparison shows the developed conceptual design is on the same level with the above mentioned, and the usefulness of TRIZ methodology. The Analysis with the Motion Capture equipment shows the developed Skateboard commercial efficient than commercial one.

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Vision-Based Real-Time Motion Capture System

  • Kim, Tae-Ho;Jo, Kang-Hyun;Yoon, Yeo-Hong;Kang, Hyun-Duk;Kim, Dae-Nyeon;Kim, Se-Yoon;Lee, In-Ho;Park, Chang-Jun;Leem Nan-Hee;Kim, Sung-Een
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.171.5-171
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    • 2001
  • Information that is acquired by adhered sensors on a body has been commonly used for the three-dimensional real-time motion capture algorithm. This paper describes realtime motion capture algorithm using computer vision. In a real-time image sequence, human body silhouette is extracted use a background subtraction between background image and the reference image. Then a human standing posture whether forward or backward is estimated by extraction of skin region in the silhoutte. After then, the principal axis is calculated in the torso and the face region is estimated on the principal axis. Feature points, which are essential condition to track the human gesture, are obtained ...

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