Earticle

초록

영어

The paper presents an advanced system for railway and road traffic noise monitoring in
metropolitan areas. This system is a functional part of a more complex solution designed for
environmental monitoring in cities utilizing analyses of sound, vision and air pollution, based
on a ubiquitous computing approach. The system consists of many autonomous, universal
measuring units and a multimedia server, which gathers, processes and presents data
obtained from the distributed measuring units. The results are visualized on numerical maps.
The paper contains a functional and technical description of the monitoring system. It
describes also the algorithm for moving vehicle detection in video sequences based on a
pixel-level difference among the image frames and a continually updated background model
utilizing mixtures of Gaussians. The experiments carried out involve the implemented
algorithm to the detection of vehicles in the recorded video sequences. The results obtained
are illustrated with some examples and discussed.

목차

Abstract
 1. Introduction
 2. Urban area environmental monitoring
 3. Road and railway traffic monitoring
 4. Moving vehicle image detection
 5. Experiments
 6. Conclusions
 7. Acknowledgements
 8. References

저자

• Andrzej Czyzewski [ Multimedia Systems Department, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland ]
• Piotr Dalka [ Multimedia Systems Department, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605