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Capturing the sporting heroes of our past by extracting 3D movements from legacy video content

Authors: 

Jon Goenetxea, Luis Unzueta, Maria Teresa Linaza, Mikel Rodriguez, Noel O'Connor, Kieran Moran

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Sports 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 key-points 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.
Conference Name: 
International Conference on Cultural Heritage
Proceedings: 
EUROMED 2014: International Conference on Cultural Heritage
Digital Object Identifer (DOI): 
10.1007/978-3-319-13695-0_5
Publication Date: 
03/11/2014
Volume: 
8740
Pages: 
48-58
Conference Location: 
Cyprus
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes