Moving Object Detection Based on Adaptive Background Updating Algorithm
Authors
Zhiyong Tang, Zhenji Yang, Kun Liu, Zhongcai Pei
Corresponding Author
Zhiyong Tang
Available Online February 2016.
- 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/).
Cite this article
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 -