earticle

영어

In event detection, especially where Heterogeneous Sensor Networks is used, performance of information fusion must remain high and level. In this paper, we develop a Graph-Based Multi-Sensor Fusion model for intelligent alarm in event detection. In the proposed model, we explore Graph-Based data fusion algorithms based on data-driven aspects of fusion, in order to locate the optimal sensing ranges of sensor nodes in a complex network with heterogeneous targets. In addition, we propose a framework incorporates useful contextual and temporal cues for detection alarm, exploring its conceptualizations, benefits, and challenging aspects, leading to correlation analysis of the target motion elements in the multimedia sensor stream. The aim is to give the simplest method for classical results in event detection.