Adaptive ViBe Algorithm Based on Pearson Correlation Coefficient

被引：0

作者：

Liu, Jing ^{[1
]}

Zhang, Yong ^{[1
]}

Zhao, Qinjun ^{[1
]}

机构：

[1] Univ Jinan, Sch Elect Engn, Jinan, Peoples R China

来源：

2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年

关键词：

background modeling; Pearson coefficient; adaptive ViBe; image stabilization;

D O I：

10.1109/cac48633.2019.8997209

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The ViBe algorithm is a foreground detection algorithm based on background update. Its effect is better than most mainstream background modeling methods. It is robust to video jitter to a certain extent, but it will still affect the background when the video jitter is too large. When video jitter occurs due to external factors, we propose an algorithm based on the Pearson coefficient, which is an improvement on the traditional ViBe algorithm. Firstly, the offset of the video is calculated, and then the ViBe modeling is changed according to the offset of the video. The center point, which changes the range of ViBe pixel set, changes the sensitivity of the model, and gives a better background modeling effect when the video is jittered.

引用

页码：4885 / 4889

页数：5