Tracking for context extraction in athletic events

Authors:
Aristodemos Pnevmatikakis;Nikos Katsarakis;Paul Chippendale;Claudio Andreatta;Stefano Messelodi;Carla Maria Modena;Francesco Tobia
Affiliations:
Athens Information Technology, Athens, Greece;Athens Information Technology, Athens, Greece;Fondazione Bruno Kessler, Trento, Italy;Fondazione Bruno Kessler, Trento, Italy;Fondazione Bruno Kessler, Trento, Italy;Fondazione Bruno Kessler, Trento, Italy;Fondazione Bruno Kessler, Trento, Italy
Venue:
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Year:
2010

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Abstract

Personalisation of large scale athletic events requires camera-specific annotations to provide for reasoning about incidents being best viewed by specific cameras. This needs an automatic system for annotating athletes on the video streams, to be achieved by the use of person trackers. In this paper we present a novel approach towards combining scene segmentation, motion outliers, face and bib tracks into body hypotheses and tracking them across time. Preliminary evaluation results demonstrate the potential of the proposed approach.