Automatic Video Interpretation: A Recognition Algorithm for Temporal Scenarios Based on Pre-compiled Scenario Models

LES AUTEURS Van-Thinh VU, François BRÉMOND and Monique THONNAT

RESUME:

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.

Mots clé: Automatic Video Interpretation, Scenario Recognition, Chronicle Recognition, Temporal Constraint Resolution, Scenario Representation.

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BibTeX reference:

icvs2003_tvu.BibTex.