Digital Video Sequence Stabilization Based on 2.5D Motion Estimation and Inertial Motion Filtering

Authors: Jin J.S.1; Zhu Z.2; Xu G.2

Source: Real-Time Imaging, Volume 7, Number 4, August 2001 , pp. 357-365(9)

Publisher: Academic Press

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Abstract:

This paper presents a novel approach to stabilize digital video sequences. A 2.5D inter-frame motion model is proposed so that the stabilization system can perform in the situations where significant depth changes are present and the camera has both rotation and translation. Inertial motion filtering is proposed in order to eliminate the vibration of the video sequences with enhanced perceptual properties. The implementation of this new approach integrates four modules: pyramid-based motion detection, 2.5D motion parameter estimation, inertial motion filtering and affine-based motion compensation. The stabilization system can smooth unwanted vibrations or shakes of video sequences and achieves a real-time speed. Copyright 2001 Academic Press.

Language: English

Document Type: Research article

Affiliations: 1: School of Computer Science and Engineering, The University of New South Wales, Sydney, 2052, Australia 2: Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

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