Using occlusions to aid position estimation for visual motion capture

Maurice Ringer, Tom Drummond, Joan Lasenby

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

A new method for estimating the pose of a person in a marker-based visual motion capture system is presented. In such systems, certain markers are not detected at each time frame due to occlusion by the subject. It is proposed to estimate the person's pose subject to the constraint that non-detected markers remain occluded and that detected markers remain visible. In this paper, the complete posterior PDF for the person's pose is developed using the constraints mentioned above, as is a least squares solution for determining its maximum. It is shown that the new technique is able to correctly estimate a variety of poses in which many marker occlusions occur and in which typical motion capture systems fail.

Original languageEnglish
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2
Publication statusPublished - 1 Dec 2001
Externally publishedYes
Event2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Kauai, HI, United States of America
Duration: 8 Dec 200114 Dec 2001

Cite this

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title = "Using occlusions to aid position estimation for visual motion capture",
abstract = "A new method for estimating the pose of a person in a marker-based visual motion capture system is presented. In such systems, certain markers are not detected at each time frame due to occlusion by the subject. It is proposed to estimate the person's pose subject to the constraint that non-detected markers remain occluded and that detected markers remain visible. In this paper, the complete posterior PDF for the person's pose is developed using the constraints mentioned above, as is a least squares solution for determining its maximum. It is shown that the new technique is able to correctly estimate a variety of poses in which many marker occlusions occur and in which typical motion capture systems fail.",
author = "Maurice Ringer and Tom Drummond and Joan Lasenby",
year = "2001",
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language = "English",
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Using occlusions to aid position estimation for visual motion capture. / Ringer, Maurice; Drummond, Tom; Lasenby, Joan.

In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, 01.12.2001.

Research output: Contribution to journalConference articleResearchpeer-review

TY - JOUR

T1 - Using occlusions to aid position estimation for visual motion capture

AU - Ringer, Maurice

AU - Drummond, Tom

AU - Lasenby, Joan

PY - 2001/12/1

Y1 - 2001/12/1

N2 - A new method for estimating the pose of a person in a marker-based visual motion capture system is presented. In such systems, certain markers are not detected at each time frame due to occlusion by the subject. It is proposed to estimate the person's pose subject to the constraint that non-detected markers remain occluded and that detected markers remain visible. In this paper, the complete posterior PDF for the person's pose is developed using the constraints mentioned above, as is a least squares solution for determining its maximum. It is shown that the new technique is able to correctly estimate a variety of poses in which many marker occlusions occur and in which typical motion capture systems fail.

AB - A new method for estimating the pose of a person in a marker-based visual motion capture system is presented. In such systems, certain markers are not detected at each time frame due to occlusion by the subject. It is proposed to estimate the person's pose subject to the constraint that non-detected markers remain occluded and that detected markers remain visible. In this paper, the complete posterior PDF for the person's pose is developed using the constraints mentioned above, as is a least squares solution for determining its maximum. It is shown that the new technique is able to correctly estimate a variety of poses in which many marker occlusions occur and in which typical motion capture systems fail.

UR - http://www.scopus.com/inward/record.url?scp=0035696597&partnerID=8YFLogxK

M3 - Conference article

VL - 2

JO - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

JF - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

SN - 1063-6919

ER -