In this paper we propose an architecture for a surveillance application aimed to the automatic re... more In this paper we propose an architecture for a surveillance application aimed to the automatic recognition of complex events. The main novelty of this work consists in the design of an effective and viable solution for the actual implementation of a complex automatic surveillance system that explicitly separates signal processing routines from the reasoning modules. We describe our ongoing efforts in the representation of the domain knowledge and in the development of a framework that allows the operator to easily check and update the systempsilas knowledge base. The taxonomical knowledge is expressed through ontologies (OWL), the event classification logic is expressed using a dedicated rule language (Jess), and the implementation is based on the java language.
In this paper, we investigate the problem of representing and maintaining rule knowledge for a vi... more In this paper, we investigate the problem of representing and maintaining rule knowledge for a video surveillance application. We focus on complex events representation which cannot be straightforwardly represented by canonical means. In particular, we highlight the ongoing efforts for a unifying framework for computable rule and taxonomical knowledge representation.
In this paper, we address the problem of representing domain knowledge for situation awareness in... more In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments. In this paper, we describe how domain knowledge can be encoded through OWL ontologies and SWRL rules in order to reason about the entities and their interactions in a surveillance application. We describe how events can be described through ontologies and how video sequences can be annotated using the MPEG-7 standard.
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Papers by massimo belluz