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1
Addressing the Occlusion Problem in Multi-Camera People Tra..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
Kim, Jeongho
;
Shin, Wooksu
;
Park, Hancheol
. - p. 5463-5469 , 2023
Link:
https://doi.org/10.1109/CVPRW59228.2023.00577
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</cTitle>: T1 <Title>Addressing the Occlusion Problem in Multi-Camera People Tracking with Human Pose Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10208726&Exemplar=1&LAN=DE A1 Kim, Jeongho A1 Shin, Wooksu A1 Park, Hancheol A1 Baek, Jongwon YR 2023 SN 2160-7516 K1 Deep learning K1 Computer vision K1 Surveillance K1 Conferences K1 Computational modeling K1 Pose estimation K1 Urban areas SP 5463 OP 5469 LK http://dx.doi.org/https://doi.org/10.1109/CVPRW59228.2023.00577 DO https://doi.org/10.1109/CVPRW59228.2023.00577 SF ELIB - SuUB Bremen
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