Automatic Light Control System Using Fish-eye Lens Camera

被引：0

作者：

Gil, Jong-in ^{[1
]}

Mahmoudpour, Saeed ^{[1
]}

Kim, Manbae ^{[1
]}

机构：

[1] Kangwon Natl Univ, Dept Comp & Commun Engn, Chunchon, South Korea

来源：

2015 21ST KOREA-JAPAN JOINT WORKSHOP ON FRONTIERS OF COMPUTER VISION | 2015年

关键词：

human detection; fish-eye image; background modeling; point tracking; REAL-TIME TRACKING;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes a comprehensive method for detecting and tracking the human in the fish-eye image. After extracting the candidate human regions from the background modeling and motion detection, measuring the center point of motion cluster is performed. The center point is considered as human and point tracking approach is used to track the person. The fact that the proposed method can detect the human effectively is demonstrated through the experimental results.

引用

页数：3

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