Real time complex event detection for resource-limited multimedia sensor networks

This paper presents a real-time complex event detection concept for resource-limited multimedia sensor networks. A comprehensive solution based on Answer Set Programming (ASP) is developed. We show that ASP is an appropriate solution to detect a large number of simple and complex events (video-audio understanding) on platforms with limited resources e.g. power consumption, memory and processing power. We underline the major problems of the existing paradigms for complex event detection (based on e.g. logic programming and SemanticWeb), with a special focus on the major challenges which reduce the performance of real-time event detection. Finally, we demonstrate the high performance of ASP compared to that of Semantic Web.