9th Joint International Conference on Information Sciences (JCIS-06)

A Quick Self-Adaptive Background Updating Algorithm Based on Moving Region

Bo Qin 0, Chuangde Zhang, Zhenghua Fang, Wei Li
Corresponding author
Bo Qin
0Computer Science Department of Ocean University of China
https://doi.org/10.2991/jcis.2006.21How to use a DOI?
Motion detection; Background subtraction; Background updating; Label
Background subtraction is a common way of real-time motion detection. Owing to lacking the right approach to update the background, it was confined in certain aspects. In this paper, we will present a quick self-adaptive background updating algorithm based on moving region, and use label method to de-noise the moving objects. The algorithm can reduce the calculation and accelerate the background subtraction. It also can update the background exactly along with the variance of illumination, and meet the real-time processing. While the label method can de-noise all the noises in the moving objects, the moving objects can be segmented from the background perfectly. The images in our experiment are obtained from the traffic scenes, and the experimental results show that this builds a good foundation for further shadow elimination and object recognition.
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

Download article (PDF)

Cite this article
  title={A Quick Self-Adaptive Background Updating Algorithm Based on Moving Region},
  author={Qin, Bo and Zhang, Chuangde and Fang, Zhenghua and Li, Wei},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  publisher={Atlantis Press}
copy to clipboarddownload