A Novel Real-Time Digital Video Stabilization Algorithm Based on the Improved Diamond Search and Modified Kalman Filter

被引：0

作者：

Song, Jifei ^{[1
]}

Ma, Xiaohong ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China

来源：

2015 IEEE 7TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE & TECHNOLOGY (ICAST) | 2015年

关键词：

video stabilization; block matching; Hooke Jeeves; adaptive; Kalman filter;

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：

Aiming at the real-time video stabilization under the potential panning motion, this paper presents a robust adaptive video stabilization algorithm based on an improved diamond search and a modified Kalman filter. On the one hand, by introducing Hooke Jeeves algorithm into the traditional diamond-search-based fast block matching method, the efficiency of motion estimation is improved. On the other hand, a modified Kalman filter is proposed to provide an adaptive motion compensation of quivering image sequences while the panning motion is preserved. Experimental results demonstrate that the proposed algorithm provides robust and adaptive compensation for image sequences even if fast panning motion exists.

引用

页码：91 / 95

页数：5

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