Bischof, W. F. and Caelli, T. (2001). Learning complex action patterns with CRGst. In S. Singh, N. Murshed and W. Kropatsch (Eds.). Advances in Pattern Recognition - IACPR 2001, pp. 280-289.
This paper deals with the problem of automatically compiling rules which describe complex actions in terms of the spatio-temporal attributes of labeled parts. Of particular interest is the exploration of a model-based approach to induction of part attributes constrained by known properties of the generation process. The resultant algorithm is based on constraint propagation over spatio-temporal decision trees which produces Horn clause descriptions which depict the spatio-temporal properties of parts and their relations which satisfy training conditions.
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