Auteur
Mots-clés
Résumé

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.

Année de publication
2014
Nombre de pages
773-781
Acta title
VISAPP - Proc. Int. Conf. Comput. Vis. Theory Appl.
Éditeur
Springer Verlag
Langue de publication
English
Lieu de la conférence
Lisbon
ISBN-ISSN
03029743 (ISSN)
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911883403&doi=10.1007%2f978-3-319-13695-0&partnerID=40&md5=7c8e92b649c01dedbc1a75ba128f1c80
DOI
10.1007/978-3-319-13695-0
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