TY - CPAPER
KW - Analysis and modelling
KW - Computer Vision
KW - Contemporary musics
KW - High level semantics
KW - Historic preservation
KW - Intangible cultural heritage
KW - Intangible cultural heritages
KW - Knowledge management
KW - Knowledge transfer
KW - Learning procedures
KW - Multisensory
KW - Multisensory Capturing and Analysis
KW - Semantic Media Interpretation
KW - Semantics
KW - Sensorimotor learning
KW - Sustainable development
KW - Technology transfer
KW - Transmission and Preservation
AU - Kosmas Dimitropoulos
AU - Sotiris Manitsaris
AU - Filareti Tsalakanidou
AU - Spiros Nikolopoulos
AU - Bruce Denby
AU - Samer Al Kork
AU - Lise Crevier-Buchman
AU - Claire Pillot-Loiseau
AU - Martine Adda-Decker
AU - Stephane Dupont
AU - Joelle Tilmanne
AU - Michela Ott
AU - Marilena Alivizatou
AU - Erdal Yilmaz
AU - Leontios Hadjileontiadis
AU - Vassilios Charisis
AU - Olivier Deroo
AU - Athanasios Manitsaris
AU - Ioannis Kompatsiaris
AU - Nikos Grammalidis
AB - Ports 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.
C1 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
C2 - VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.
CY - Lisbon
DO - 10.1007/978-3-319-13695-0
LA - English
N1 - Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 58 Publication Title: Lect. Notes Comput. Sci.
N2 - Ports 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.
PB - Springer Verlag
PP - Lisbon
PY - 2014
SN - 03029743 (ISSN)
SP - 773
EP - 781
TI - Capturing the intangible: An introduction to the i-treasures project
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911883403&doi=10.1007%2f978-3-319-13695-0&partnerID=40&md5=7c8e92b649c01dedbc1a75ba128f1c80
VL - 2
ER -