Automatic video interpretation: a recognition algorithm for temporal scenarios based on pre-compiled scenario models

Authors:
Van-Thinh Vu;François Brémond;Monique Thonnat
Affiliations:
Project ORION of I.N.R.I.A. Sophia Antipolis, Sophia Antipolis Cedex, France;Project ORION of I.N.R.I.A. Sophia Antipolis, Sophia Antipolis Cedex, France;Project ORION of I.N.R.I.A. Sophia Antipolis, Sophia Antipolis Cedex, France
Venue:
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Year:
2003

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Abstract

This paper presents a new scenario recognition algorithm for Video Interpretation. We represent a scenario model with the characters involved in the scenario, with its sub-scenarios and with the constraints combining the sub-scenarios. By pre-compiling the scenario models, the recognition algorithm processes temporal constraints by decomposing complex scenarios into intermediate sub-scenarios to reduce the algorithm complexity. We have tested the recognition algorithm on several videos of a bank agency to try to recognize a scenario of "Attack". We conclude by showing experimental results of the efficiency of this algorithm for real time temporal scenario recognition.