• Title/Summary/Keyword: Motion Capture Data

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Motion correction captured by Kinect based on synchronized motion database (동기화된 동작 데이터베이스를 활용한 Kinect 포착 동작의 보정 기술)

  • Park, Sang Il
    • Journal of the Korea Computer Graphics Society
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    • v.23 no.2
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    • pp.41-47
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    • 2017
  • In this paper, we present a method for data-driven correction of the noisy motion data captured from a low-end RGB-D camera such as the Kinect device. For this purpose, our key idea is to construct a synchronized motion database captured with Kinect and additional specialized motion capture device simultaneously, so that the database contains a set of erroneous poses from Kinect and their corresponding correct poses from the mocap device together. In runtime, given motion captured data from Kinect, we search the similar K candidate Kinect poses from the database, and synthesize a new motion only by using their corresponding poses from the mocap device. We present how to build such motion database effectively, and provide a method for querying and searching a desired motion from the database. We also adapt the laze learning framework to synthesize the corrected poses from the querying results.

On Natural Motion Editing by a Geometric Mean Filter (기하학적 평균 필터에 의한 자연스러운 움직임 편집)

  • Kim Jin-Ok
    • Journal of Internet Computing and Services
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    • v.4 no.2
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    • pp.31-37
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    • 2003
  • Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.

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On Natural Motion Editing by a Geometric Mean Filter (기하학적 평균 필터에 의한 자연스러운 움직임 편집)

  • Kim Jin-Ok
    • Journal of Internet Computing and Services
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    • v.5 no.2
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    • pp.41-47
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    • 2004
  • Recently, motion capture has become one of the most promising technologies in animation. Realistic motion data can be captured by recording the movement of a real actor with an optical or magnetic motion capture system. This paper deals with motion editing by a geometric mean filter. Since the captured motion has some noises that cause a jerky motion, it needs a smoothing process to make it natural. A geometric mean filter is proposed to produce natural motions without jerky motions. Experimental results show that the geometric mean filter can effectively remove noises that cause a jerky motion and it can guarantee the most natural motions among various spatial filters. This method could be applied to the various fields such as real time animation, virtual reality applications, 3D applications, and etc.

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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.

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.

The System of Motion Recognition using Augmented Reality (증강현실을 이용한 모션 인식 시스템)

  • Nam, Il-Ho;Ryu, Young-Kee
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.505-506
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    • 2008
  • Motion capture system that is used in movies and games today requires large equipments and expensive that it is still not common as a reasonable family game. Therefore, this research project focused on solving these problems mentioned above and move on to develop a new type of approach and by using reasonable family use USB camera and augmented reality to develop a bodily sensation motion capture system which can be used in making a video game. In order to develop this, I used a pair of Marker which can be placed on both hands and one USB camera and the image that was extracted in real time goes through the AR toolkit and ed the 3D coordinates of data and developed a motion capture system.

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Design of Exo-Suit for Shoulder Muscle Strength Support (어깨 근력보조를 위한 엑소수트 설계)

  • Kwang-Woo Jeon;TaeHwan Kim;SeungWoo Kim;JungJun Kim;Hyun-Joon Chung
    • The Journal of Korea Robotics Society
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    • v.18 no.1
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    • pp.110-116
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    • 2023
  • In this study describes the design of Exo-suit to assist those who work in unstructured positions. The present study aimed to analyze various types of work, especially those performed in unstructured postures by heavy industry workers. Based on the motion capture analysis results, an attempt was made to develop a shoulder muscle-assistive Exo-suit capable of assisting a wearer who is working using shoulder muscles. In the present study, as the first step of developing a shoulder muscle-assistive Exo-suit, different working scenarios were simulated, and the corresponding motion data were estimated using motion capture devices. The obtained motion data were reflected in the design of the Exo-suit. The main structure of the shoulder muscle-assistive Exo-suit was made of a carbon fiber-reinforced composite to obtain the weight reduction. The shoulder muscle assistive Exo-suit was designed to fully cover the range of motion for workers working in unstructured postures.

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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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.

Real-Time Motion Generation Method of Humanoid Robots based on RGB-D Camera for Interactive Performance and Exhibition (인터렉티브 공연·전시를 위한 RGB-D 카메라 기반 휴머노이드 로봇의 실시간 로봇 동작 생성 방법)

  • Seo, Bohyeong;Lee, Duk-Yeon;Choi, Dongwoon;Lee, Dong-Wook
    • Journal of Broadcast Engineering
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    • v.25 no.4
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    • pp.528-536
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    • 2020
  • As humanoid robot technology advances, the use of robots for performance is increasing. As a result, studies are being conducted to increase the scope of use of robots in performances by making them natural like humans. Among them, the use of motion capture technology is often used, and there are environmental inconveniences in preparing for motion capture, such as the need for IMU sensors or markers attached to each part of the body and precise high-performance cameras. In addition, for robots used in performance technology, there is a problem that they have to respond in real time depending on the unexpected situation or the audience's response. To make up for the above mentioned problems, in this paper, we proposed a real-time motion capture system by using a number of RGB-D cameras and creating natural robot motion similar to human motion by using motion-captured data.