Deep Learning-Based Action Recognition

Deep Learning-Based Action Recognition

The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns. Technology for the recognition of human action pattern includes the proce...

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Lee, Hyo Jong
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (240 p.)
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(oapen)https://directory.doabooks.org/handle/20.500.12854/93210
(EXLCZ)995670000000391616
collection bib_alma
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spelling Lee, Hyo Jong edt
Deep Learning-Based Action Recognition
MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (240 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
The classification of human action or behavior patterns is very important for analyzing situations in the field and maintaining social safety. This book focuses on recent research findings on recognizing human action patterns. Technology for the recognition of human action pattern includes the processing technology of human behavior data for learning, technology of expressing feature values ​​of images, technology of extracting spatiotemporal information of images, technology of recognizing human posture, and technology of gesture recognition. Research on these technologies has recently been conducted using general deep learning network modeling of artificial intelligence technology, and excellent research results have been included in this edition.
English
Technology: general issues bicssc
History of engineering & technology bicssc
human action recognition
graph convolution
high-order feature
spatio-temporal feature
feature fusion
dynamic gesture recognition
multi-modalities network
class regularization
3D-CNN
spatiotemporal activations
class-specific features
Dynamic Hand Gesture Recognition
human-computer interaction
hand shape features
pose estimation
stacked hourglass network
deep learning
convolutional receptive field
hand gesture recognition
human-machine interface
artificial intelligence
feedforward neural networks
spatio-temporal image formation
human activity recognition
fusion strategies
transfer learning
activity recognition
data augmentation
multi-person pose estimation
partitioned centerpose network
partition pose representation
continuous hand gesture recognition
gesture spotting
gesture classification
multi-modal features
3D skeletal
CNN
spatiotemporal feature
embedded system
real-time
action recognition
Long Short-Term Memory
spatio-temporal differential
3-0365-5199-9
Lee, Hyo Jong oth
language English
format eBook
author2 Lee, Hyo Jong
author_facet Lee, Hyo Jong
author2_variant h j l hj hjl
author2_role Sonstige
title Deep Learning-Based Action Recognition
spellingShingle Deep Learning-Based Action Recognition
title_full Deep Learning-Based Action Recognition
title_fullStr Deep Learning-Based Action Recognition
title_full_unstemmed Deep Learning-Based Action Recognition
title_auth Deep Learning-Based Action Recognition
title_new Deep Learning-Based Action Recognition
title_sort deep learning-based action recognition
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (240 p.)
isbn 3-0365-5200-6
3-0365-5199-9
illustrated Not Illustrated
work_keys_str_mv AT leehyojong deeplearningbasedactionrecognition
status_str n
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carrierType_str_mv cr
is_hierarchy_title Deep Learning-Based Action Recognition
author2_original_writing_str_mv noLinkedField
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