Recognition of Humans And Their Activities

The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities.

Introduction, Overview of Recognition Algorithms
Human Recognition Using Face
Literature Review
Face Recognition From Still Images
Face Recognition From Video
Evaluation of Face Recognition Technologies
Conclusions
Human Recognition Using Gait
Review of Existing Work
HMM Framework for Gait Recognition
View Invariant Gait Recognition
Role of Shape and Dynamics in Gait Recognition
Human Activity Recognition
Literature Review
Activity Modeling Using Kendall's Shape Theory
Activity Mode
Table of Contents provided by Publisher. All Rights Reserved.

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

FREE SHIPPING

Amazon no longer offers textbook rentals. We do!

Recognition of Humans And Their Activities Using Video

Summary

Table of Contents

Supplemental Materials