Abstract

Chronicle Recognition Improvement using Temporal Focusing and Hierarchization.

Chronicle Recognition Improvement using Temporal Focusing and Hierarchization.

Christophe Dousson, Pierre Le Maigat

This article falls under the problem of the symbolic monitoring of real-time complex systems or of video interpretation systems. Among the various techniques used for the on-line monitoring, we are interested here in the temporal scenario recognition. In order to reduce the complexity of the recognition and, consequently, to improve its performance, we explore two methods: the first one is the focus on particular events (in practice, uncommon ones) and the second one is the factorization of common temporal scenarios in order to do a hierarchical recognition. In this article, we present both concepts and merge them to propose a focused hierarchical recognition. This approach merges and generalizes the two main approaches in symbolic recognition of temporal scenarios: the Store Totally Recognized Scenarios (STRS) approach and the Store Partially Recognized Scenarios (SPRS) approach.

URL: http://crs.elibel.tm.fr/xophe/pdf/2007-ijcai.pdf