Earticle

초록

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.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Undirected Graph and Multimedia Sensor Networks
  3.1. Definition of Events in Multimedia Sensor Networks
  3.2 Construction of Undirected Graph
  3.3 Event Detection
 4. Simulation and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Jiangfan Feng [ School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China, Key Lab of Instrument Science and Dynamic Test, North University of China, Taiyuan 030051, China ]
• Mingbo Gou [ Key Lab of Instrument Science and Dynamic Test, North University of China, Taiyuan 030051, China ]
• Haibin Hu [ Experiment Center, China West Normal University, Nanchong 637002, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605