期刊
OPTIK
卷 168, 期 -, 页码 605-618出版社
ELSEVIER GMBH
DOI: 10.1016/j.ijleo.2018.04.047
关键词
Background subtraction; Block based; Adaptive update; Dynamic scene
类别
资金
- Karabiik University [KBU-BAP-16/1-DR-167]
Today, determining background which forms the basis of the video surveillance system whose use is increasing in parallel with developing technology, is a complicated process to implement for cases involving dynamic scene. In this study, we proposed a block-based adaptive method which can be adaptable to dynamic environmental conditions. By grouping the pixels in the picture frame as 2 x 2 non-overlapped blocks, we reduced the amount of noise and the time delay caused by processing of pixels. By a simple counter structure, we created an adaptive threshold parameter which can be adapted according to the case in N surrounding. We used this parameter to perform an update of the background model and reduced background model normalization process. So, we reduced the update time of background operably. Our proposed method achieved successful results in levels of grey levels. (C) 2018 Elsevier GmbH. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据