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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1086378.bibtex.
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- aggregation isPartOf urn:isbn:9780769542645.
- aggregation isPartOf urn:isbn:9781424483105.
- aggregation language "eng".
- aggregation publisher "IEEE Computer Society".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Multi-camera analysis of soccer sequences".
- aggregation abstract "The automatic detection of meaningful phases in a soccer game depends on the accurate localization of players and the ball at each moment. However, the automatic analysis of soccer sequences is a challenging task due to the presence of fast moving multiple objects. For this purpose, we present a multi-camera analysis system that yields the position of the ball and players on a common ground plane. The detection in each camera is based on a code-book algorithm and different features are used to classify the detected blobs. The detection results of each camera are transformed using homography to a virtual top-view of the playing field. Within this virtual top-view we merge trajectory information of the different cameras allowing to refine the found positions. In this paper, we evaluate the system on a public SOCCER dataset and end with a discussion of possible improvements of the dataset.".
- aggregation authorList BK234150.
- aggregation endPage "31".
- aggregation startPage "26".
- aggregation aggregates 1086385.
- aggregation isDescribedBy 1086378.
- aggregation similarTo AVSS.2010.64.
- aggregation similarTo LU-1086378.