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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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
History of engineering & technology
Technology: general issues
3D skeletal
3D-CNN
action recognition
activity recognition
artificial intelligence
class regularization
class-specific features
CNN
continuous hand gesture recognition
convolutional receptive field
data augmentation
deep learning
dynamic gesture recognition
Dynamic Hand Gesture Recognition
embedded system
feature fusion
feedforward neural networks
fusion strategies
gesture classification
gesture spotting
graph convolution
hand gesture recognition
hand shape features
high-order feature
human action recognition
human activity recognition
human-computer interaction
human-machine interface
Long Short-Term Memory
multi-modal features
multi-modalities network
multi-person pose estimation
n/a
partition pose representation
partitioned centerpose network
pose estimation
real-time
spatio-temporal differential
spatio-temporal feature
spatio-temporal image formation
spatiotemporal activations
spatiotemporal feature
stacked hourglass network
transfer learning
Online Access:Open Access: DOAB: description of the publication
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