Publication Type

Journal Article

Version

acceptedVersion

Publication Date

11-2005

Abstract

This paper describes a unified approach for video stabilization. The essential goal is to stabilize image sequences that consist of moving foreground objects, which appear frequently in today's home videos captured by hand-held consumer cameras. Our proposed techniques mainly, rely on the analysis of;motion content. Three major components area initialization, segmentation and stabilization. In motion initialization, we propose a novel algorithm to efficiently search for the best possible frame in a sequence to start segmentation. Our segmentation algorithm is based on Expectation-Maximization (EM) framework which provides the mechanism for simultaneous estimation of motion models and their layers of support. Based on the framework of Kalman filter and EM. motion estimation, our proposed algorithm has the flexibility of allowing selective stabilization with respect to background or/and foreground objects, subject to the preferences of customers.

Keywords

digital image stabilization, motion segmentation, Kalman filter

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

IEEE Transactions on Consumer Electronics

Volume

51

Issue

4

First Page

1074

Last Page

1084

ISSN

0098-3063

Identifier

10.1109/TCE.2005.1561827

Publisher

Institute of Electrical and Electronics Engineers

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