Earticle

초록

영어

Owing to recent developments in surveillance-system technology, there is growing interest in the construction of intelligent surveillance systems aimed at public facility management. Intelligent surveillance systems detect abnormal phenomena through monitoring by managers, and require further intelligent analysis of pictures. Such systems may have difficulty analyzing pictures that contain certain barrier elements. Therefore, preprocessing technology is necessary to improve these barrier elements before analysis of the pictures. Barrier elements in surveillance systems aimed at facility management include the unexpected appearance of obstacles or areas of shadow within the facility. Existing research on shadow areas does not make good use of any prior information that the intelligent surveillance system might have. It is mainly concerned with aerial photograph and therefore has limited application to facility management. Accordingly, this study proposes a technique that is suitable for application to facility-surveillance systems to predict and improve shadow areas in picture data. Further, this study examines the effectiveness of the proposed technique by means of an experiment.

목차

Abstract
 1. Introduction
 2. Related Work
 3. An Improvement Scheme for Shadow Areas
 4. Experiment
  4.1. An Experiment to Detect Shadow Areas
  4.2. An Experiment to Improve Shadow Areas
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Hoejung Jung [ Department of Computer Science, Kyonggi University, South Korea ]
• Min Choi [ School of Info. and Comm. Eng., Chungbuk National Univ., Korea ]
• Namgi Kim [ Department of Computer Science, Kyonggi University, South Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605