Moving Target Detection based on Multi-feature Adaptive Background Model

被引：0

作者：

Sun, Peiye ^{[1
]}

Lv, Lianrong ^{[1
]}

Qin, Juan ^{[1
]}

Lin, Linghui ^{[1
]}

机构：

[1] Tianjin Univ Technol TJUT, Sch Elect & Elect Engn, Tianjin, Peoples R China

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2019年

关键词：

moving target detection; multi-feature; background model; adaptive; shadow;

D O I：

10.1109/icma.2019.8816282

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the problems of shadow and the influence of dynamic background, a moving object detection method based on multi-feature adaptive background model is presented in this paper. Firstly, establish the chromaticity model and texture model respectively to represent each pixel. Then, adjust the model adaptively according to the background complexity and extract the moving object. Finally, find the inner contour of extracted object to fill, which makes the results more complete. At the same time, update the background model. The test results show that the presented method can eliminate the influence of shadow and dynamic background well. Compared with several other methods, it has a better overall performance.

引用

页码：1610 / 1614

页数：5

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