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1 Ergebnisse
1
Multi-Stream Deep Convolutional Network Using High-Level Fe..:
, In:
2019 International Conference on Systems, Signals and Image Processing (IWSSIP)
,
Carneiro, Sarah Almeida
;
da Silva, Gabriel Pellegrino
;
Leite, Guilherme Vieira
... - p. 293-298 , 2019
Link:
https://doi.org/10.1109/IWSSIP.2019.8787213
RT T1 <cTitle>2019 International Conference on Systems, Signals and Image Processing (IWSSIP)</cTitle>: T1 <Title>Multi-Stream Deep Convolutional Network Using High-Level Features Applied to Fall Detection in Video Sequences</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8787213&Exemplar=1&LAN=DE A1 Carneiro, Sarah Almeida A1 da Silva, Gabriel Pellegrino A1 Leite, Guilherme Vieira A1 Moreno, Ricardo A1 Guimaraes, Silvio Jamil F. A1 Pedrini, Helio YR 2019 SN 2157-8702 K1 Feature extraction K1 Optical flow K1 Mathematical model K1 Support vector machines K1 Computer architecture K1 Streaming media K1 Pose estimation K1 deep learning K1 fall detection K1 high level features K1 multi-classifiers K1 multi-stream K1 optical flow SP 293 OP 298 LK http://dx.doi.org/https://doi.org/10.1109/IWSSIP.2019.8787213 DO https://doi.org/10.1109/IWSSIP.2019.8787213 SF ELIB - SuUB Bremen
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