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Motion Capture: History, Approaches, Applications, and Future trends. By: Ryan Frost MSIM 742 : Visualization II Old Dominion University. Introduction. Motion capture is the recording of human body movement (or other movement) for immediate or delayed analysis and playback.
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Motion Capture:History, Approaches, Applications, and Future trends By: Ryan Frost MSIM 742 : Visualization II Old Dominion University
Introduction Motion capture is the recording of human body movement (or other movement) for immediate or delayed analysis and playback Motion capture refers to the technique of recording the actions of human actors, and using that information to animate digital character models in 3D animation
History • Interest in studying motion dates back to 1400’s • 1400’s: Leonardo da Vinci • 1500’s: Galileo • 1600’s: Borelli • Newton, Bernoulli, Euler, Pioseuille, and Young • 1900’s:Muybridge, Marey
Applications of Motion Capture • Entertainment (Movies, Games) • Medical Field • Sports Analysis and Enhancement • Industrial Field • Increase process efficiency, product design, ergonomics evaluation • Research and Defense
Approaches to Motion Capture • Marker Based • Goniometers • Magnetic • Inertial • Opitcal
MIT’s Pfinder Markerless Approach • 2D Blob Model http://www.youtube.com/watch?v=BVwKPnIErrA
Stanford Markerless Motion Capture Project • 3D voxel reconstruction from silhouettes http://www.stanford.edu/~stefanoc/Markerless/Markerless.html
Human Shape and Pose from Images Using SCAPE • SCAPE Models Template Body Pose Body Shape
Human Shape and Pose from Images Using SCAPE Input Images overlaid with estimated body model Overlap (yellow) between silhouette (red) and estimated model (blue) Recovered model from each camera view
Future Trends of Motion Capture • Markerless Motion Capture • In general – • Increased speed • Increased capture area • Decreased cost • Multiple character motion capture
Resources • Goniometer Motion Capture • Animazoo – http://www.animazoo.com • Magnetic Motion Capture: • Ascension - http://www.ascension-tech.com/ • Polhemus –http://www.polhemus.com • Inertial Motion Capture: • Animazoo –http://www.animazoo.com • InterSense –http://www.isense.com/ • Moven –http://www.moven.com • Motion analysis software: • Autodesk –http://usa.autodesk.com – 3-D CAD and animation software. • C-Motion, Inc. –http://www.c-motion.com – 3-D motion analysis software. • Markerless Motion Capture: • Organic Motion – http://www.organicmotion.com/ • Mova – http://www.mova.com/ • MaMoCa – http://www.mamoca.com • OpticalMotion Capture: • VICON – http://www.vicon.com/ • MotionAnlysis –http://www.motionanalysis.com • OptiTrack –http://www.naturalpoint.com/optitrack/ • Qualisys Motion Capture Systems –http://www.qualisys.com • PhaseSpace Motion Capture –http://www.phasespace.com
References • [1] Struman, David, A Brief History of Motion Capture for Computer Character Animation, found on the web: http://www.siggraph.org/education/materials/HyperGraph/animation/character_animation/motion_capture/history1.htm • [2] Furniss, Maureen, Motion Capture, found on the web: http://web.mit.edu/comm-forum/papers/furniss.html • [3] Human Motion Analysis, found on the web: http://www.xsens.com/index.php?mainmenu=technology&submenu=research&subsubmenu=human_motion • [4] Eadweard Muybridge, from Wikipedia, found on the web: http://en.wikipedia.org/wiki/Eadweard_Muybridge • [5] Adventures in Cybersound, found on the web: http://www.acmi.net.au/AIC/MAREY_BIO.html • [6] Animazoo, found on the web: http://www.animazoo.com/ • [7] Motion capture, from Wikipedia, found on the web: http://en.wikipedia.org/wiki/Motion_capture • [8] A.G. Kirk, J.F. O'Brien, D.A. Forsyth, Skeletal Parameter Estimation From Optical Motion Capture Data, Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference Volume 2, 20-25 June 2005 Page(s): 782–788. • [9] Meta Motion, found on the web: http://www.metamotion.com/metamotion.htm • [10] J.F. O’Brien, R.E Bodenheimer, Jr., G.J. Brostow, J.K. Hodgins, Automatic Joint Parameter Estimation from Magnetic Motion Capture Data, Graphics Interface 2000. • [11] H. Zhou, H. Hu, Kinematic model aided inertial motion tracking of human upper limb, IEEE Conference on Information Acquisition, June27-July3, 2005. • [12] Moven, found on the web: http://www.moven.com • [13] Organic Motion Launches Markerless Motion Capture System, Studio Daily (www.studiodaily.com), August 9, 2007. • [14] Organic Motion, found on the web: http://www.organicmotion.com • [15] L. Mundermann, S. Corazza, T.P. Andriacchi, The Evolution of Methods for the Capture of Human Movement Leading to Markerless Motion Capture for Biomechanical Applications, Department of Mechanical Engineering, Stanford University, 2006. • [16] C. Wren, A. Azarbayejani, T. Darrell, A. Pentland, Pfinder: Real-Time Tracking of the Human Body, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 19, Issue 7, Jul 1997 Page(s): 780–785. • [17] A. Sundaresan, Towards Markerless Motion Capture: Model Estimation, Initialization and Tracking, University of Maryland, 2007. • [18] Stanfords Markerless Motion Capture Project, found on the web: http://www.stanford.edu/~stefanoc/Markerless/Markerless.html • [19] S. Corazza, L. Mundermann, A.M. Chaudhari, T. Demattio, C. Cobelli, T.P. Andriacchi, A Markerless Motion Capture System to Study Musculoskeletal Biomechanics: Visual Hull and Simulated Annealing Approcah, Annals of Biomedical Engineering, Vol. 34, No. 6, June 2006, Page(s): 1019-1029. • [20] A.O. Balan, L. Sigal, M. Black, J.E. Davis, H.W. Haussecker, Detailed Human Shape and Pose from Images, IEEE Conference on Computer Vision and Pattern Recognition, 17-22, June 2007 Page(s): 1-8. • [21] D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, J. Davis, SCAPE: Shape Completion and Animation of People, ACM Trans. Graphics, 24(3):408-416, 2005. • [22] Motion Analysis, found on the web: http://www.motionanalysis.com/html/animation/film.html • [23] PhaseSpace, found on the web: http://www.phasespace.com/applicationsMain.html • [24] Improving Quality with Virtual Technology, found on the web: http://www.ford.com/innovation/automotive-technology/developing-better-ideas/virtual-ergonomics/391-virtual-ergonomics