Video-based event recognition: activity representation and probabilistic recognition methods
Computer Vision and Image Understanding - Special issue on event detection in video
Representing and recognizing complex events in surveillance applications
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Handling complex events in surveillance tasks
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
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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 system’s knowledge base. The taxonomical knowledge is expressed through ontologies (OWL), the event classificationlogic is expressed using a dedicated rule language (Jess), and the implementation is based on the java language.