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1 Ergebnisse
1
A Real-Time Human Tracking System Using Multiple Cameras to..:
, In:
2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)
,
Katayama, Hikaru
;
Yano, Hideto
;
Yoshihisa, Tomoki
. - p. 210-213 , 2024
Link:
https://doi.org/10.1109/CCNC51664.2024.10454843
RT T1 <cTitle>2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>A Real-Time Human Tracking System Using Multiple Cameras to Reduce Network Loads</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10454843&Exemplar=1&LAN=DE A1 Katayama, Hikaru A1 Yano, Hideto A1 Yoshihisa, Tomoki A1 Shimonishi, Hideyuki YR 2024 SN 2331-9860 K1 Performance evaluation K1 Deep learning K1 Limiting K1 Surveillance K1 Urban areas K1 Packet loss K1 Cameras K1 Human detection K1 Human recognition K1 Multi-camera tracking K1 Distributed process K1 Video surveillance SP 210 OP 213 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51664.2024.10454843 DO https://doi.org/10.1109/CCNC51664.2024.10454843 SF ELIB - SuUB Bremen
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