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Published in 2018 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2017.12.001
Abstract: Abstract Audio event recognition is applied in many novel application areas. Opposing the deep CNN, 1-max pooling CNN is a simple, but efficient CNN architecture for robust audio event recognition. This study proposes a parallel…
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Keywords:
event recognition;
robust audio;
audio event;
max pooling ... See more keywords
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Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2067126
Abstract: Image event recognition is different from object recognition, behaviour recognition and scene recognition. Event is a more advanced concept than object, behaviour and scene. Regarding semantics loss in image event recognition, this paper first proposes…
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Keywords:
event recognition;
semantics;
concept;
image ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2959788
Abstract: Recognition of different kinds of human intrusions from the environmental disturbance with high efficiency is still a challenging task in perimeter security monitoring with fiber optic vibration sensor, since the vibration signals induced by these…
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Keywords:
event recognition;
perimeter security;
vibration;
monitoring ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3110341
Abstract: The salient event recognition of soccer matches in the next-generation Internet of Things (Nx-IoT) environment aims to analyze the performance of players/teams by the sports analytics and managerial staff. The embedded Nx-IoT devices carried by…
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Keywords:
recognition;
event recognition;
soccer;
iot enabled ... See more keywords
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Published in 2017 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2016.2616308
Abstract: Current video event recognition research remains largely target-centered. For real-world surveillance videos, targetcentered event recognition faces great challenges due to large intra-class target variation, limited image resolution, and poor detection and tracking results. To mitigate…
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Keywords:
context;
event recognition;
level;
hierarchical context ... See more keywords
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Published in 2020 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2020/7090918
Abstract: In view of the weak generalization of traditional event recognition methods, the limitation of dependence on field knowledge of expert, the longer train time of deep neural network, and the problem of gradient dispersion, the…
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Keywords:
emergency event;
event recognition;
recognition;
chinese emergency ... See more keywords
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Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.73134.2
Abstract: Background: The lack of real-time monitoring is one of the reasons for the lack of awareness among drivers of their dangerous driving behavior. This work aims to develop a driver profiling system where a smartphone’s…
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Keywords:
driving event;
different driving;
machine;
driving events ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020293
Abstract: In recent years, the advancement of pattern recognition algorithms, specifically the deep learning-related techniques, have propelled a tremendous amount of researches in fall event recognition systems. It is important to detect a fall incident as…
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Keywords:
recognition;
event;
convolutional neural;
fall event ... See more keywords