A graph-based concept for spatiotemporal information in cognitive vision

Authors:
Adrian Ion;Yll Haxhimusa;Walter G. Kropatsch
Affiliations:
Pattern Recognition and Image Processing Group 183/2, Institute for Computer Aided Automation, Vienna University of Technology, Austria;Pattern Recognition and Image Processing Group 183/2, Institute for Computer Aided Automation, Vienna University of Technology, Austria;Pattern Recognition and Image Processing Group 183/2, Institute for Computer Aided Automation, Vienna University of Technology, Austria
Venue:
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Year:
2005

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Abstract

A concept relating story-board description of video sequences with spatio-temporal hierarchies build by local contraction processes of spatio-temporal relations is presented. Object trajectories are curves in which their ends and junctions are identified. Junction points happen when two (or more) trajectories touch or cross each other, which we interpret as the “interaction” of two objects. Trajectory connections are interpreted as the high level descriptions.