Human Pose Analysis

Deep Learning Meets Human Kinematics in Video

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Éditeur :

Springer

Paru le : 2024-12-26

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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Éditeur

Collection
n.c

Parution
2024-12-26

Pages
208 pages

EAN papier
9789819793334

Auteur(s) du livre


Songlin Du is an associate professor at the School of Automation, Southeast University, Nanjing, China. He received the B.Sc. degree from China University of Geosciences, Wuhan, China, in 2013; the M.Sc. degree from Lanzhou University, Lanzhou, China, in 2015; a Ph.D. degree in physics from Lanzhou University, Lanzhou, China, in 2019; and a Ph.D. degree in engineering from Waseda University, Tokyo, Japan, in 2019. His research interests include computer vision and machine learning. Takeshi Ikenaga is a professor at the Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan. He received the B.E. and M.E. degrees in electrical engineering and the Ph.D. degree in information & computer science from Waseda University, Tokyo, Japan, in 1988, 1990, and 2002, respectively. He joined the LSI Laboratories, Nippon Telegraph, and Telephone Corporation (NTT), in 1990, where he had been undertaking research on a real-time MPEG2 encoder chipset, and a highly parallel LSI design for image understanding processing. His current interests are image and video processing systems, which cover video compression, video filtering and video recognition.

Caractéristiques détaillées - droits

EAN PDF
9789819793341
Prix
158,24 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
20797 Ko
EAN EPUB
9789819793341
Prix
158,24 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
31068 Ko

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