Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2015-09-22

Included Journals: Scopus、CPCI-S、EI

Page Number: 91-95

Key Words: video stabilization; block matching; Hooke Jeeves; adaptive; Kalman filter

Abstract: 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.