research-article

Dynamic Stabilization of a Pan and Tilt Camera for Submarine Image Visualization

Authors:

Armel Crétual,

François ChaumetteAuthors Info & Claims

Computer Vision and Image Understanding, Volume 79, Issue 1

Pages 47 - 65

https://doi.org/10.1006/cviu.2000.0849

Published: 01 July 2000 Publication History

Abstract

One major problem of underwater observation with an automatic engine is the instability of image acquisition and visualization. Indeed, small engines of this kind are subjected to low-frequency motions due to weak friction and water currents. In this paper, we propose to maintain stabilization in the image by controlling the pan and tilt motions of the camera attached to the engine, using techniques for target tracking by visual servoing. The main idea behind approach lies in the fact that, since it is very difficult to track a point in the images of an unknown and complex scene using geometrical tools, the position of a virtual point can be retrieved by the integration of its 2D motion. The motion estimation method we have used, called the RMR algorithm, provides the parameters of a selected motion model (for the task considered here, a constant one) and is perfectly suitable for real-time constraints and the complexity of an undersea image sequence. Our approach has been validated on a dry setup using two different sequences of underwater images.

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Cited By

Raut SGu QAoyama TTakaki TIshii I(2015)Real-time optical image stabilization using high frame rate video sequence at 500 fpsProceedings of the 2015 Conference on Advances In Robotics10.1145/2783449.2783516(1-6)Online publication date: 2-Jul-2015
https://dl.acm.org/doi/10.1145/2783449.2783516

Index Terms

Dynamic Stabilization of a Pan and Tilt Camera for Submarine Image Visualization
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
  2. Machine learning

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Information & Contributors

Information

Published In

cover image Computer Vision and Image Understanding

Computer Vision and Image Understanding Volume 79, Issue 1

Special issue on underwater computer vision and pattern recognition

July 2000

182 pages

ISSN:1077-3142

Editors:
Avinash C. Kak
Purdue Univ., West Lafayette, IN
,
Vittorio Murino,
Andrea Trucco

Issue’s Table of Contents

Copyright © Academic Press.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 July 2000

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Citations

Cited By

Raut SGu QAoyama TTakaki TIshii I(2015)Real-time optical image stabilization using high frame rate video sequence at 500 fpsProceedings of the 2015 Conference on Advances In Robotics10.1145/2783449.2783516(1-6)Online publication date: 2-Jul-2015
https://dl.acm.org/doi/10.1145/2783449.2783516

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