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Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions

Abstract:

Estimating motion from images is a well-studied problem in computer vision and robotics. Previous work has developed techniques to estimate the motion of a moving camera in a largely static environment (e.g., visual odometry) and to segment or track motions in a dynamic scene using known camera motions (e.g., multiple object tracking). It is more challenging to estimate the unknown motion of the camera and the dynamic scene simultaneously. Most previous work requires a priori object models (e...

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Publication status:
Accepted
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0002-1034-3889
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Publisher:
IEEE Publisher's website
Series:
IEEE/RSJ International Conference on Intelligent Robots and Systems
Acceptance date:
2018-06-29
EISSN:
2153-0866
Pubs id:
pubs:891808
URN:
uri:9f33f183-1901-4134-bd40-7cfbc97c8c60
UUID:
uuid:9f33f183-1901-4134-bd40-7cfbc97c8c60
Local pid:
pubs:891808

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