Skip to Content
Mastering Computer Vision with TensorFlow 2.x
book

Mastering Computer Vision with TensorFlow 2.x

by Krishnendu Kar
May 2020
Beginner to intermediate
430 pages
10h 39m
English
Packt Publishing
Content preview from Mastering Computer Vision with TensorFlow 2.x

Action Recognition Using Multitask Deep Learning

Action recognition is a key part of computer vision and involves recognizing human hand, leg, head, and body positions to detect specific movements and classify them into well-known categories. The difficulty comes in there being variations in visual inputs (such as the body being cluttered or covered with clothing), similar actions but different categories such as drinking water or talking using a handheld cell phone, and getting representative training data.

This chapter provides a detailed overview of the key methods we can use for human pose estimation, as well as action recognition. Action recognition combines the pose estimation method with acceleration-based activity recognition, as ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Computer Vision with TensorFlow 2

Hands-On Computer Vision with TensorFlow 2

Benjamin Planche, Eliot Andres

Publisher Resources

ISBN: 9781838827069Supplemental Content