02905nas a2200601   4500000000100000000000100001008004100002260002800043653002700071653002000098653002400118653002500142653002600167653003300193653003400226653002500260653002300285653002400308653001700332653004000349653003400389653001400423653002600437653002800463653002400491653003400515100002500549700002300574700002600597700002400623700001600647700001800663700002500681700002600706700002400732700002000756700002000776700001600796700002400812700001700836700002900853700002300882700001800905700002600923700002500949700002200974245007300996856015001069300001201219490000601231520104601237020002002283       2014                            d  bSpringer VerlagaLisbon10aAnalysis and modelling10aComputer Vision10aContemporary musics10aHigh level semantics10aHistoric preservation10aIntangible cultural heritage10aIntangible cultural heritages10aKnowledge management10aKnowledge transfer10aLearning procedures10aMultisensory10aMultisensory Capturing and Analysis10aSemantic Media Interpretation10aSemantics10aSensorimotor learning10aSustainable development10aTechnology transfer10aTransmission and Preservation1 aKosmas Dimitropoulos1 aSotiris Manitsaris1 aFilareti Tsalakanidou1 aSpiros Nikolopoulos1 aBruce Denby1 aSamer Al Kork1 aLise Crevier-Buchman1 aClaire Pillot-Loiseau1 aMartine Adda-Decker1 aStephane Dupont1 aJoelle Tilmanne1 aMichela Ott1 aMarilena Alivizatou1 aErdal Yilmaz1 aLeontios Hadjileontiadis1 aVassilios Charisis1 aOlivier Deroo1 aAthanasios Manitsaris1 aIoannis Kompatsiaris1 aNikos Grammalidis00aCapturing the intangible: An introduction to the i-treasures project  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84911883403&doi=10.1007%2f978-3-319-13695-0&partnerID=40&md5=7c8e92b649c01dedbc1a75ba128f1c80  a773-7810 v23 aPorts are a key part of cultural identity, and it is necessary to preserve them as important intangible Cultural Heritage, especially the human motion techniques specific to individual sports. In this paper we present a method for extracting 3D athlete motion from video broadcast sources, providing an important tool for preserving the heritage represented by these movements. Broadcast videos include camera motion, multiple player interaction, occlusions and noise, presenting significant challenges to solve the reconstruction. The approach requires initial definition of some key-frames and setting of 2D keypoints in those frames manually. Thereafter an automatic process estimates the poses and positions of the players in the key-frames, and in the frames between key-frames, taking into account collisions with the environment and human kinematic constraints. Initial results are extremely promising and this data could be used to analyze the sport s evolution over time, or even to generate animations for interactive applications.  a03029743 (ISSN)