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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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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2022
Matèries:
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
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:ONIX_20221025_9783036551999_64
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Sumari: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.

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