Performance and accuracy in visual motion computation from FS sonar video sequences

Shahriar Negahdaripour, Hassan Assalih, Yvan Petillot, Lisa N. Brisson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In addition to its numerous terrestrial applications, the capability to compute self (or a target's) 3-D motion is important for many underwater operations. While optical systems are the most common imaging modality above the sea, serious complexities arise when the mission is to be carried out beneath the sea surface, with turbidity being the most prohibiting factor. Acoustic-based imaging and methods, because of the ability to penetrate silt and other sources of turbidity, offer a more effective solution. It is thus desired to devise robust motion vision techniques comparable to those realized for optical cameras. In this paper, we explore the impact of selected key factors on the accuracy of motion estimation from 2-D sonar cameras. These factors comprise the field of view of the camera, the number of feature matches in a motion sequence, and the inaccuracy in the knowledge of their image positions. The significance of each factor is analyzed based on the variances of the sought after motion parameters. We also present various results from an experiment with real data, where we apply different measures that provide us with ground truth for the quantitative assessment of the motion estimation accuracy.

Original languageEnglish
Title of host publicationMTS/IEEE Seattle, OCEANS 2010
DOIs
StatePublished - Dec 1 2010
EventMTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States
Duration: Sep 20 2010Sep 23 2010

Other

OtherMTS/IEEE Seattle, OCEANS 2010
CountryUnited States
CitySeattle, WA
Period9/20/109/23/10

Fingerprint

Sonar
Cameras
Motion estimation
Turbidity
Imaging techniques
Silt
Optical systems
Acoustics
Experiments

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Ocean Engineering

Cite this

Negahdaripour, S., Assalih, H., Petillot, Y., & Brisson, L. N. (2010). Performance and accuracy in visual motion computation from FS sonar video sequences. In MTS/IEEE Seattle, OCEANS 2010 [5664504] https://doi.org/10.1109/OCEANS.2010.5664504

Performance and accuracy in visual motion computation from FS sonar video sequences. / Negahdaripour, Shahriar; Assalih, Hassan; Petillot, Yvan; Brisson, Lisa N.

MTS/IEEE Seattle, OCEANS 2010. 2010. 5664504.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Negahdaripour, S, Assalih, H, Petillot, Y & Brisson, LN 2010, Performance and accuracy in visual motion computation from FS sonar video sequences. in MTS/IEEE Seattle, OCEANS 2010., 5664504, MTS/IEEE Seattle, OCEANS 2010, Seattle, WA, United States, 9/20/10. https://doi.org/10.1109/OCEANS.2010.5664504
Negahdaripour, Shahriar ; Assalih, Hassan ; Petillot, Yvan ; Brisson, Lisa N. / Performance and accuracy in visual motion computation from FS sonar video sequences. MTS/IEEE Seattle, OCEANS 2010. 2010.
@inproceedings{769e18c514e64d3eb3d8a8510d4dd7d0,
title = "Performance and accuracy in visual motion computation from FS sonar video sequences",
abstract = "In addition to its numerous terrestrial applications, the capability to compute self (or a target's) 3-D motion is important for many underwater operations. While optical systems are the most common imaging modality above the sea, serious complexities arise when the mission is to be carried out beneath the sea surface, with turbidity being the most prohibiting factor. Acoustic-based imaging and methods, because of the ability to penetrate silt and other sources of turbidity, offer a more effective solution. It is thus desired to devise robust motion vision techniques comparable to those realized for optical cameras. In this paper, we explore the impact of selected key factors on the accuracy of motion estimation from 2-D sonar cameras. These factors comprise the field of view of the camera, the number of feature matches in a motion sequence, and the inaccuracy in the knowledge of their image positions. The significance of each factor is analyzed based on the variances of the sought after motion parameters. We also present various results from an experiment with real data, where we apply different measures that provide us with ground truth for the quantitative assessment of the motion estimation accuracy.",
author = "Shahriar Negahdaripour and Hassan Assalih and Yvan Petillot and Brisson, {Lisa N.}",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/OCEANS.2010.5664504",
language = "English",
isbn = "9781424443321",
booktitle = "MTS/IEEE Seattle, OCEANS 2010",

}

TY - GEN

T1 - Performance and accuracy in visual motion computation from FS sonar video sequences

AU - Negahdaripour, Shahriar

AU - Assalih, Hassan

AU - Petillot, Yvan

AU - Brisson, Lisa N.

PY - 2010/12/1

Y1 - 2010/12/1

N2 - In addition to its numerous terrestrial applications, the capability to compute self (or a target's) 3-D motion is important for many underwater operations. While optical systems are the most common imaging modality above the sea, serious complexities arise when the mission is to be carried out beneath the sea surface, with turbidity being the most prohibiting factor. Acoustic-based imaging and methods, because of the ability to penetrate silt and other sources of turbidity, offer a more effective solution. It is thus desired to devise robust motion vision techniques comparable to those realized for optical cameras. In this paper, we explore the impact of selected key factors on the accuracy of motion estimation from 2-D sonar cameras. These factors comprise the field of view of the camera, the number of feature matches in a motion sequence, and the inaccuracy in the knowledge of their image positions. The significance of each factor is analyzed based on the variances of the sought after motion parameters. We also present various results from an experiment with real data, where we apply different measures that provide us with ground truth for the quantitative assessment of the motion estimation accuracy.

AB - In addition to its numerous terrestrial applications, the capability to compute self (or a target's) 3-D motion is important for many underwater operations. While optical systems are the most common imaging modality above the sea, serious complexities arise when the mission is to be carried out beneath the sea surface, with turbidity being the most prohibiting factor. Acoustic-based imaging and methods, because of the ability to penetrate silt and other sources of turbidity, offer a more effective solution. It is thus desired to devise robust motion vision techniques comparable to those realized for optical cameras. In this paper, we explore the impact of selected key factors on the accuracy of motion estimation from 2-D sonar cameras. These factors comprise the field of view of the camera, the number of feature matches in a motion sequence, and the inaccuracy in the knowledge of their image positions. The significance of each factor is analyzed based on the variances of the sought after motion parameters. We also present various results from an experiment with real data, where we apply different measures that provide us with ground truth for the quantitative assessment of the motion estimation accuracy.

UR - http://www.scopus.com/inward/record.url?scp=78651275171&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78651275171&partnerID=8YFLogxK

U2 - 10.1109/OCEANS.2010.5664504

DO - 10.1109/OCEANS.2010.5664504

M3 - Conference contribution

SN - 9781424443321

BT - MTS/IEEE Seattle, OCEANS 2010

ER -