Human Centric Visual Analysis with Deep Learning

✍ Scribed by Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo

• Publisher: Springer Singapore
• Year: 2020
• Tongue: English
• Leaves: 160
• Edition: 1st ed. 2020
• Category: Library

✦ Synopsis

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions.

Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding.

This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.

✦ Table of Contents

Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
The Foundation and Advances of Deep Learning (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 3-13
Human-Centric Visual Analysis: Tasks and Progress (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 15-25
Front Matter ....Pages 27-28
Face Localization and Enhancement (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 29-45
Pedestrian Detection with RPN and Boosted Forest (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 47-54
Front Matter ....Pages 55-57
Self-supervised Structure-Sensitive Learning for Human Parsing (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 59-68
Instance-Level Human Parsing (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 69-83
Video Instance-Level Human Parsing (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 85-93
Front Matter ....Pages 95-98
Person Verification (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 99-114
Face Verification (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 115-130
Front Matter ....Pages 131-133
Human Activity Understanding (Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo)....Pages 135-156

✦ Subjects

Computer Science; Image Processing and Computer Vision; Pattern Recognition; Biometrics