Robust Background Generation Using a Modified Mixture of Gaussian Model for Object Detection

被引：0

作者：

Maik, Vivek ^{[1
]}

Kim, Hyungtae ^{[2
]}

Kim, Daehee ^{[2
]}

Chae, Eunjung ^{[2
]}

Paik, Joonki ^{[2
]}

机构：

[1] Oxford Coll Engn, Dept Elect & Commun, Bangalore, Karnataka, India

[2] Chung Ang Univ, Dept Image, Seoul 156756, South Korea

来源：

18TH IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE 2014) | 2014年

关键词：

background modeling; object detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a robust background generation method using a modified mixture of Gaussian model. Traditional background generation methods become unstable when the camera viewpoint suddenly changes. To solve this problem, the proposed method robustly extracts the background by mixing multiple Gaussian models.

引用

页数：2

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