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blog/posts/biometrics-explained.md
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@ -144,6 +144,8 @@ There are two approaches for extracting biometric data from video.
This approach attempts to model the human body in order to track the different parts of it. A well-known example of this approach is the Microsoft Kinect, which only consists of a fairly low-resolution camera. It simplifies the human body into a stick figure, which you can see in footage of the Kinect in action. It then uses the distances and joint angles of the model for gait recognition.
<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/33AsuE-WP64?si=0iPKmqAzaW8ncjgc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
#### Model-free
Model-free approaches don't try to model the human body but instead use the whole motion of human silhouettes. This gives a few advantages, namely it works regardless of camera quality and it takes significantly fewer resources.