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      Tracking the Joints of Arthropod Legs using Multiple Images and Inverse Kinematics

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      https://www.riss.kr/link?id=A103721897

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      다국어 초록 (Multilingual Abstract)

      Negligible research has been conducted on the systematic analysis of small animals, such as lizards and arthropods. Furthermore,few studies in the area use digitized data obtained from animals. Currently, the motion analysis of most living creatures is carriedout using optical motion capture systems. However, these systems are inapplicable to small animals because of the difficulty inattaching optical markers to them. Ongoing research on markerless motion capture technology aims to solve this problem, but mostof those studies have been conducted on human subjects. Therefore, more studies are needed to apply a markerless motion capturetechnology to insects with several legs and joints. In this paper, we propose a method to calculate the continuous pose of smallarticulated animals using multiple view video sequences. This includes the extraction of the initial skeleton model and the extractionof roots and extremities, as well as the calculation of joint kinematics using the Forward and Backward Reaching Inverse Kinematics(FABRIK) algorithm. We also generate the optimal three-dimensional skeleton model using the correction method in order to obtainthe position of the joints.
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      Negligible research has been conducted on the systematic analysis of small animals, such as lizards and arthropods. Furthermore,few studies in the area use digitized data obtained from animals. Currently, the motion analysis of most living creatures i...

      Negligible research has been conducted on the systematic analysis of small animals, such as lizards and arthropods. Furthermore,few studies in the area use digitized data obtained from animals. Currently, the motion analysis of most living creatures is carriedout using optical motion capture systems. However, these systems are inapplicable to small animals because of the difficulty inattaching optical markers to them. Ongoing research on markerless motion capture technology aims to solve this problem, but mostof those studies have been conducted on human subjects. Therefore, more studies are needed to apply a markerless motion capturetechnology to insects with several legs and joints. In this paper, we propose a method to calculate the continuous pose of smallarticulated animals using multiple view video sequences. This includes the extraction of the initial skeleton model and the extractionof roots and extremities, as well as the calculation of joint kinematics using the Forward and Backward Reaching Inverse Kinematics(FABRIK) algorithm. We also generate the optimal three-dimensional skeleton model using the correction method in order to obtainthe position of the joints.

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      참고문헌 (Reference)

      1 Cheung, K. M. G., "Visual Hull Construction, Alignment and Refinement for Human Kinematic Modeling, Motion Tracking and Rendering" Robotics Institute, Carnegie Mellon University 2003

      2 Bai, X., "Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution" 29 (29): 449-462, 2007

      3 Lourakis, M. I., "SBA: A Software Package for Generic Sparse Bundle Adjustment" 36 (36): 2-, 2009

      4 Endo, Y., "Reconstructing Individual Hand Models from Motion Capture Data" 1 (1): 1-12, 2014

      5 Hoshino, R., "Real-Time Motion Capture System based-on Silhouette Contour Analysis and Inverse Kinematics" 7 : 157-163, 2001

      6 Fujiyoshi, H., "Real-Time Human Motion Analysis by Image Skeletonization" 15-21, 1998

      7 Caillette, F., "Real-Time 3-D Human Body Tracking using Variable Length Markov Models" 2005

      8 Cappozzo, A., "Position and Orientation in Space of Bones during Movement:Anatomical Frame Definition and Determination" 10 (10): 171-178, 1995

      9 Hwang, S., "Pose Estimation of Small-Articulated Animals using Multiple View Images" 2014

      10 Hartley, R., "Multiple View Geometry in Computer Vision" Cambridge University Press 237-362, 2003

      1 Cheung, K. M. G., "Visual Hull Construction, Alignment and Refinement for Human Kinematic Modeling, Motion Tracking and Rendering" Robotics Institute, Carnegie Mellon University 2003

      2 Bai, X., "Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution" 29 (29): 449-462, 2007

      3 Lourakis, M. I., "SBA: A Software Package for Generic Sparse Bundle Adjustment" 36 (36): 2-, 2009

      4 Endo, Y., "Reconstructing Individual Hand Models from Motion Capture Data" 1 (1): 1-12, 2014

      5 Hoshino, R., "Real-Time Motion Capture System based-on Silhouette Contour Analysis and Inverse Kinematics" 7 : 157-163, 2001

      6 Fujiyoshi, H., "Real-Time Human Motion Analysis by Image Skeletonization" 15-21, 1998

      7 Caillette, F., "Real-Time 3-D Human Body Tracking using Variable Length Markov Models" 2005

      8 Cappozzo, A., "Position and Orientation in Space of Bones during Movement:Anatomical Frame Definition and Determination" 10 (10): 171-178, 1995

      9 Hwang, S., "Pose Estimation of Small-Articulated Animals using Multiple View Images" 2014

      10 Hartley, R., "Multiple View Geometry in Computer Vision" Cambridge University Press 237-362, 2003

      11 Corazza, S., "Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation" 87 (87): 156-169, 2010

      12 Lourakis, M., "Levmar: Levenberg-Marquardt Nonlinear Least Squares Algorithms in C/C++"

      13 Michoud, B., "Human Motion-Understanding, Modeling, Capture and Animation" 88-103, 2007

      14 Frigo, C., "Functionally Oriented and Clinically Feasible Quantitative Gait Analysis Method" 36 (36): 179-185, 1998

      15 Aristidou, A., "FABRIK: A Fast, Iterative Solver for the Inverse Kinematics Problem" 73 (73): 243-260, 2011

      16 Correa Hernandez, P., "Dual Bayesian and Morphology-based Approach for Markerless Human Motion Capture in Natural Interaction Environments" 101 : 69-106, 2006

      17 Pullar, K., "Development of a Model-based Tracking Algorithm for Reconstruction of 3d Spider Motion" 2008

      18 Mundermann, L., "Conditions That Influence the Accuracy of Anthropometric Parameter Estimation for Human Body Segments using Shape-from-Silhouette" 5665 : 268-277, 2005

      19 Park, C. J., "Blob Feature-based Markerfree Motion Capture System for Motion Interface of Game" 4 : 18-28, 2004

      20 Vattam, S., "Biologically-Inspired Innovation in Engineering Design: A Cognitive Study" Georgia Institute of Technology 2007

      21 Corazza, S., "Automatic Generation of a Subject-Specific Model for Accurate Markerless Motion Capture and Biomechanical Applications" 57 (57): 806-812, 2010

      22 Deutscher, J., "Articulated Body Motion Capture by Stochastic Search" 61 (61): 185-205, 2005

      23 Gibson, D. P., "A System for the Capture and Synthesis of Insect Motion" 69 (69): 231-245, 2007

      24 Li, Y., "A Relaxation Algorithm for Real-Time Multiple View 3D-Tracking" 20 (20): 841-859, 2002

      25 Corazza, S., "A Markerless Motion Capture System to Study Musculoskeletal Biomechanics: Visual Hull and Simulated Annealing Approach" 34 (34): 1019-1029, 2006

      26 Davis, R. B., "A Gait Analysis Data Collection and Reduction Technique" 10 (10): 575-587, 1991

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-06-23 학회명변경 영문명 : Korean Society Of Precision Engineering -> Korean Society for Precision Engineering KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-05-30 학술지명변경 한글명 : 한국정밀공학회 영문논문집 -> International Journal of the Korean of Precision Engineering KCI등재후보
      2005-05-30 학술지명변경 한글명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      외국어명 : International Journal of the Korean of Precision Engineering -> International Journal of Precision Engineering and Manufacturing
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.38 0.71 1.08
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.92 0.85 0.583 0.11
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