An exposure guided background subtraction for smart camera
Authors
Tianyi Chen, Xiaoxu Zheng, Bin Wang, Wen Gai, Maojun Zhang
Corresponding Author
Tianyi Chen
Available Online July 2015.
- DOI
- 10.2991/icismme-15.2015.180How to use a DOI?
- Keywords
- smart camera; background subtraction; auto-exposure; visual surveillance.
- Abstract
An exposure guided background subtraction (EGBS) model is proposed for smart cameras to handle illumination change due to auto-exposure in visual surveillance. To reduce false foreground pixels caused by auto-exposure, EGBS compensates background illumination directly utilizing the information generated by auto-exposure module without extra illumination change estimation. Hence, it is very preferable for smart camera without any extra hardware resources. Experimental results indicate the proposed model efficiently reduces false foreground pixels caused by auto-exposure.
- Copyright
- © 2015, 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 - Tianyi Chen AU - Xiaoxu Zheng AU - Bin Wang AU - Wen Gai AU - Maojun Zhang PY - 2015/07 DA - 2015/07 TI - An exposure guided background subtraction for smart camera BT - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy PB - Atlantis Press SP - 858 EP - 861 SN - 1951-6851 UR - https://doi.org/10.2991/icismme-15.2015.180 DO - 10.2991/icismme-15.2015.180 ID - Chen2015/07 ER -