Jump to ratings and reviews
Rate this book

High-Orders Motion Analysis: Computer Vision Methods

Rate this book
This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision.



Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences.



Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future.



We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.

127 pages, Kindle Edition

Published February 23, 2024

1 person want to read

About the author

Yan Sun

44 books2 followers

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
0 (0%)
4 stars
0 (0%)
3 stars
0 (0%)
2 stars
0 (0%)
1 star
0 (0%)
No one has reviewed this book yet.

Can't find what you're looking for?

Get help and learn more about the design.