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Tiny people pose

Abstract:

While recent progress in pose recognition has been impressive, there remains ample margin for improvement, particularly in challenging scenarios such as low resolution images. In this paper, we consider the problem of recognizing pose from tiny images of people, down to 24px high. This is relevant when interpreting people at a distance, which is important in applications such as autonomous driving and surveillance in crowds. Addressing this challenge, which has received little attention so fa...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-030-20893-6_35

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
New College
Role:
Author
Publisher:
Springer, Cham
Host title:
ACCV 2018: Computer Vision – ACCV 2018
Series:
Lecture Notes in Computer Science
Journal:
Asian Conference on Computer Vision, 2018 More from this journal
Volume:
11363
Pages:
558-574
Publication date:
2019-05-29
Acceptance date:
2018-09-21
DOI:
ISSN:
0302-9743
ISBN:
9783030208936
Pubs id:
pubs:950911
UUID:
uuid:8fad928d-f70a-485a-8f26-c4bf12cf114d
Local pid:
pubs:950911
Source identifiers:
950911
Deposit date:
2018-12-06

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