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LAEO-Net: Revisiting people looking at each other in videos

Abstract:

Capturing the ‘mutual gaze’ of people is essential for understanding and interpreting the social interactions between them. To this end, this paper addresses the problem of detecting people Looking At Each Other (LAEO) in video sequences. For this purpose, we propose LAEO-Net, a new deep CNN for determining LAEO in videos. In contrast to previous works, LAEO-Net takes spatio-temporal tracks as input and reasons about the whole track. It consists of three branches, one for each character’s tra...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/CVPR.2019.00359

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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:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/M013774/1
Publisher:
IEEE
Host title:
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Journal:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) More from this journal
Pages:
3472-3480
Publication date:
2020-01-09
Acceptance date:
2019-03-29
DOI:
ISSN:
2575-7075
ISBN:
9781728132938
Pubs id:
pubs:1014748
UUID:
uuid:8a1a5af9-8c13-4c4b-a88a-7fae254ee040
Local pid:
pubs:1014748
Source identifiers:
1014748
Deposit date:
2019-06-17

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