@InProceedings{Musto2000,
  author    = {A. Musto and K. Stein and A. Eisenkolb and T. Röfer and W. Brauer and K. Schill},
  title     = {From Motion Observation to Qualitative Motion Representation},
  booktitle = {Spatial Cognition II, Lecture Notes in Artificial Intelligence},
  year      = {2000},
  editor    = {C. Freksa and C. Habel and K. Wender},
  volume    = {1849},
  publisher = {Springer},
  abstract  = {Since humans usually prefer to communicate in qualitative and not in
quantitative categories, qualitative spatial representations are of great importance
for user interfaces of systems that involve spatial tasks. Abstraction is the key for
the generation of qualitative representations from observed data. This paper deals
with the conversion of motion data into qualitative representations, and it presents
a new generalization algorithm that abstracts from irrelevant details of a course
of motion. In a further step of abstraction, the shape of a course of motion is used
for qualitative representation. Our approach is motivated by findings of our own
experimental research on the processing and representation of spatio-temporal
information in the human visual system.},
}