@INPROCEEDINGS{Miene2005,
  author = {Miene, Andrea and Visser, Ubbo and Herzog, Otthein},
  title = {Recognition and Prediction of Motion Situations Based on a Qualitative
	Motion Description},
  booktitle = {RoboCup 2003: Robot Soccer World Cup VII},
  year = {2004},
  editor = {Polani, Daniel and Browning, Brett and Bonarini, Andrea and Yoshida,
	Kazuo},
  number = {3020},
  series = {Lecture Notes in Computer Science},
  pages = {77--88},
  address = {Padua, Italy},
  publisher = {Springer},
  note = {This paper has won the Scientific Challenge Award RoboCup 2003.},
  abstract = {High-level online methods become more and more attractive with the
	increasing abilities of players and teams in the simulation league.
	As in real soccer, the recognition and prediction of strategies (e.g.
	opponent's formation), tactics (e.g. wing play, offside traps), and
	situations (e.g. passing behavior) is important. In 2001, we proposed
	an approach where spatio-temporal relations between objects are described
	and interpreted in order to detect some of the above mentioned situations.
	In this paper we propose an extension of this approach that enables
	us to both interpret and predict complex situations. It is based
	on a qualitative description of motion scenes and additional background
	knowledge. The method is applicable to a variety of situations. Our
	experiment consists of numerous offside situations in simulation
	league games. We discuss the results in detail and conclude that
	this approach is valuable for future use because it is (a) possible
	to use the method in real-time, (b) we can predict situations giving
	us the option to refine agents actions in a game, and (c) it is domain
	independent in general.},
  doi = {10.1007/b98623},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/2003/mieneetal03.pdf}
}