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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.
Keywords
object detection, sport, image sequences, virtual reality, multi-camera analysis, soccer sequences, automatic detection, common ground plane, code-book algorithm, virtual top-view, trajectory information

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Chicago
Poppe, Chris, Steven Verstockt, Sarah De Bruyne, and Rik Van de Walle. 2010. “Multi-camera Analysis of Soccer Sequences.” In Advanced Video and Signal Based Surveillance, 7th IEEE International Conference, Proceedings, 26–31. Los Alamitos, CA, USA: IEEE Computer Society.
APA
Poppe, Chris, Verstockt, S., De Bruyne, S., & Van de Walle, R. (2010). Multi-camera analysis of soccer sequences. Advanced Video and Signal Based Surveillance, 7th IEEE International conference, Proceedings (pp. 26–31). Presented at the 2010 7th IEEE International conference on Advanced Video and Signal Based Surveillance (AVSS 2010), Los Alamitos, CA, USA: IEEE Computer Society.
Vancouver
1.
Poppe C, Verstockt S, De Bruyne S, Van de Walle R. Multi-camera analysis of soccer sequences. Advanced Video and Signal Based Surveillance, 7th IEEE International conference, Proceedings. Los Alamitos, CA, USA: IEEE Computer Society; 2010. p. 26–31.
MLA
Poppe, Chris, Steven Verstockt, Sarah De Bruyne, et al. “Multi-camera Analysis of Soccer Sequences.” Advanced Video and Signal Based Surveillance, 7th IEEE International Conference, Proceedings. Los Alamitos, CA, USA: IEEE Computer Society, 2010. 26–31. Print.
@inproceedings{1086378,
  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.},
  author       = {Poppe, Chris and Verstockt, Steven and De Bruyne, Sarah and Van de Walle, Rik},
  booktitle    = {Advanced Video and Signal Based Surveillance, 7th IEEE International conference, Proceedings},
  isbn         = {9781424483105},
  keyword      = {object detection,sport,image sequences,virtual reality,multi-camera analysis,soccer sequences,automatic detection,common ground plane,code-book algorithm,virtual top-view,trajectory information},
  language     = {eng},
  location     = {Boston, MA, USA},
  pages        = {26--31},
  publisher    = {IEEE Computer Society},
  title        = {Multi-camera analysis of soccer sequences},
  url          = {http://dx.doi.org/10.1109/AVSS.2010.64},
  year         = {2010},
}

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