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Recognition of joint actions of several
people by machine learning methods.
Introduction
The recognition of human
activity in video is widely studied and
has recently gained significant success
thanks to deep learning approaches.
However, it remains a challenging task.
In this work, I investigated a new
method of understanding human
behavior and assigning a label to each
action.
I expected that the human
skeleton, as a compact
representation of human
actions, is an excellent
model.
Methods of obtaining a human skeleton
OpenPose is a real-time
multi-person human
pose detection library
that has for the first
time shown the
capability to jointly
detect the human body,
foot, hand, and facial
keypoints on single
images. OpenPose is
capable of detecting a
total of 135 keypoints. I
use the model which
can detect 18 keypoints.
Dataset
Algorithm
Recognition of joint actions of several people.pptx

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Recognition of joint actions of several people.pptx

  • 1. Recognition of joint actions of several people by machine learning methods.
  • 2. Introduction The recognition of human activity in video is widely studied and has recently gained significant success thanks to deep learning approaches. However, it remains a challenging task. In this work, I investigated a new method of understanding human behavior and assigning a label to each action.
  • 3. I expected that the human skeleton, as a compact representation of human actions, is an excellent model.
  • 4. Methods of obtaining a human skeleton OpenPose is a real-time multi-person human pose detection library that has for the first time shown the capability to jointly detect the human body, foot, hand, and facial keypoints on single images. OpenPose is capable of detecting a total of 135 keypoints. I use the model which can detect 18 keypoints.