Adaptive update background model for detecting moving objects

被引：0
|
作者：
Zhang, Yan [1 ,2 ]
Zhou, Zhong [1 ,2 ]
Wu, Wei [1 ,2 ]
机构：
[1] State Key Laboratory of Virtual Reality Technology and Systems, Beijing 100083, China
[2] School of Computer Science and Engineering, Beihang University, Beijing 100083, China
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2008年 / 20卷 / 10期
关键词：
Classification (of information) - Image segmentation - Object detection - Object recognition - Security systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An adaptive background updating model is proposed to tackle possible background changes in moving object detection. The model uses feature points to classify the pixels in the scene, then compute their updating rates according to their classification information. Finally, background is updated adaptively with varying update rate. The experimental results show that the proposed model can effectively cope with the inaccurate updating problem in the Gaussian mixture model due to the fixed update rate.
引用
收藏
页码：1316 / 1324
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