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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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Bibliographic Details
Main Author: Lee, Hyo Jong
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Spatio-temporal Differential
Human Action Recognition
Spatio-temporal Feature
Partitioned Centerpose Network
Multi-modalities Network
Feature Fusion
High-order Feature
N/a
Data Augmentation
Stacked Hourglass Network
Gesture Classification
Dynamic Hand Gesture Recognition
Deep Learning
Human-computer Interaction
Human-machine Interface
History Of Engineering & Technology / Bicssc
Spatiotemporal Feature
Feedforward Neural Networks
Class-specific Features
Multi-person Pose Estimation
Technology: General Issues / Bicssc
Graph Convolution
Transfer Learning
Fusion Strategies
Real-time
Pose Estimation
Dynamic Gesture Recognition
Convolutional Receptive Field
Continuous Hand Gesture Recognition
Hand Gesture Recognition
Partition Pose Representation
Long Short-term Memory
Multi-modal Features
Action Recognition
Cnn
Class Regularization
3d-cnn
Hand Shape Features
Artificial Intelligence
Spatio-temporal Image Formation
Gesture Spotting
3d Skeletal
Embedded System
Spatiotemporal Activations
Activity Recognition
Human Activity Recognition
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (240 p.)
ISBN:9783036551999
9783036552002
books978-3-0365-5200-2

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