A novel background modeling approach for accurate and real-time motion segmentation

被引：0
|
作者：
Wang Tang [1 ]
Chen Gong [1 ]
Zhou Heqin [1 ]
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
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：
Fast and accurate segmentation of moving objects in video sequences is a basic task in many computer vision and video analysis applications. This paper presents a novel method for background modeling based on the Unscented Kalman Filter (UKF) algorithm. In addition, shadow detection is conducted during motion segmentation. Experiments are performed under different conditions indoor and outdoor. The results show that the proposed algorithm is effective and efficient in background modeling and motion segmentation.
引用
收藏
页码：986 / +
页数：2
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