Human Centric Visual Analysis with Deep Learning
Authors: Liang Lin – Dongyu Zhang – Ping Luo – Wangmeng Zuo
ISBN-10: 9811323860
ISBN-13: 9789811323867
Edition 版次: 1st ed. 2020
Publication Date 出版日期: 2019-11-13
Print Length 页数: 156 pages
9
Book Description
By finelybook
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.
Part l.Motivation and Overview
1.The Foundation and Advances of Deep Learning
2.Human-Centric Visual Analysis: Tasks and Progress
Part ll.Localizing Persons in Images
3.Face Localization and Enhancement
4.Pedestrian Detection with RPN and Boosted Forest
Part ll.Parsing Person in Detail
5.Self-supervised Structure-Sensitive Learning for Human Parsing
6.Instance-Level Human Parsing
7.Video Instance-Level Human Parsing
Part IV.Identifying and Verifying Persons
8.Person Verification
9.Face Verification
Part V.Higher Level Tasks
10.Human Activity Understanding
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.
