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

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 subscenarios. 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. Keyword. Automatic Video Interpretation, Scenario Recognition, Chronicle Recognition, Temporal Constraint Resolution, Scenario Representation.

• Type: Conference
• Year: 2003
• Where: ICVS
• Authors: Van-Thinh Vu, François Brémond, Monique Thonnat
• Keywords: ICVS 2003, Recognition Algorithm, Scenario, Scenario Recognition