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Human Pose Analysis Deep Learning Meets Human Kinematics in Video /

This book stands at the intersection of computer vision, artificial intelligence, and human kinematics, offering a comprehensive exploration of the principles, methodologies, and applications of human pose analysis in video data. It covers two main aspects: human body pose analysis and human head po...

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Detalles Bibliográficos
Autores principales: Du, Songlin (Autor), Ikenaga, Takeshi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Materias:
Computer vision.
Image processing.
Machine learning.
Biometric identification.
Computer Vision.
Image Processing.
Machine Learning.
Biometrics.
Acceso en línea:https://doi.org/10.1007/978-981-97-9334-1
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Tabla de Contenidos:
  • Chapter 1. Introduction
  • Chapter 2. Bidirectionally Learning Heatmaps for 2D Human Pose Estimation
  • Chapter 3. Self-Supervised Multi-Person 2D Human Pose Estimation
  • Chapter 4. Bidirectional 2D-3D Transformation for 3D Human Pose Estimation
  • Chapter 5. Joint Data Augmentation and Representation for 3D Human Pose Estimation
  • Chapter 6. Spatial-Temporal Feature Transform for 3D Human Pose Estimation
  • Chapter 7. Real-Time 3D Human Pose Estimation from a Single RGB Image
  • Chapter 8. Spatio-Temporal Aggregation for 3D Human Head Pose Estimation
  • Chapter 9. Spatial-Temporal Pyramid for 3D Human Head Pose Prediction
  • Chapter 10. Conclusion and Outlook.

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