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1 Ergebnisse
1
Recognizing the Age, Gender, and Mobility of Pedestrians in..:
, In:
Proceedings of the 2022 ACM Conference on Information Technology for Social Good
,
Baghezza, Rani
;
Bouchard, Kévin
;
Gouin-Vallerand, Charles
- p. 48-54 , 2022
Link:
https://dl.acm.org/doi/10.1145/3524458.3547235
RT T1 <cTitle>Proceedings of the 2022 ACM Conference on Information Technology for Social Good</cTitle>: T1 <Title>Recognizing the Age, Gender, and Mobility of Pedestrians in Smart Cities using a CNN-BGRU on Thermal Images</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3547235&Exemplar=1&LAN=DE A1 Baghezza, Rani A1 Bouchard, Kévin A1 Gouin-Vallerand, Charles PB ACM YR 2022 K1 age K1 cnn K1 computer vision K1 deep learning K1 gait recognition K1 gender K1 mobility K1 raspberry pi K1 rnn K1 soft biometrics K1 thermal images K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Biometrics K1 Social and professional topics K1 User characteristics K1 Gender K1 Age K1 Security and privacy K1 Human and societal aspects of security and privacy K1 Social aspects of security and privacy SP 48 OP 54 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3524458.3547235 DO https://dl.acm.org/doi/10.1145/3524458.3547235 SF ELIB - SuUB Bremen
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