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

DOI

10.2991/jcis.2006.21How to use a DOI?

Keywords

Motion detection; Background subtraction; Background updating; Label

Abstract

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.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo Qin
AU  - Chuangde Zhang
AU  - Zhenghua Fang
AU  - Wei Li
PY  - 2006/10
DA  - 2006/10
TI  - A Quick Self-Adaptive Background Updating Algorithm Based on Moving Region
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 86
EP  - 90
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.21
DO  - 10.2991/jcis.2006.21
ID  - Qin2006/10
ER  -