Moving Object Detection Based on Adaptive Background Updating Algorithm

DOI

10.2991/iccsae-15.2016.134How to use a DOI?

Keywords

Background Updating; Background Subtraction; Moving Object Detection;

Abstract

Background modeling and subtraction method is an important part in motion detection. In this paper, we propose a novel moving object detection method based on four frame difference arithmetic of adaptive background updating algorithm to build the background model. The method employs dynamic threshold in order to adapt to the sudden changes in lights. According to different labels in background, this paper defines different updating rate, and analyzes the image features of moving object area. Experimental results show that, the algorithm can effectively remove noise and rapidly respond to practical scene changes.

Copyright

© 2016, 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  - Zhiyong Tang
AU  - Zhenji Yang
AU  - Kun Liu
AU  - Zhongcai Pei
PY  - 2016/02
DA  - 2016/02
TI  - Moving Object Detection Based on Adaptive Background Updating Algorithm
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 719
EP  - 723
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.134
DO  - 10.2991/iccsae-15.2016.134
ID  - Tang2016/02
ER  -