diff --git a/blog/assets/images/biometrics-explained/model-free-gait.webp b/blog/assets/images/biometrics-explained/model-free-gait.webp new file mode 100644 index 00000000..5e7ac294 Binary files /dev/null and b/blog/assets/images/biometrics-explained/model-free-gait.webp differ diff --git a/blog/posts/biometrics-explained.md b/blog/posts/biometrics-explained.md index 64681039..f03a469d 100644 --- a/blog/posts/biometrics-explained.md +++ b/blog/posts/biometrics-explained.md @@ -153,6 +153,11 @@ This approach attempts to model the human body in order to track the different p 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. +
+ ![Diagram showing the process of turning raw camera input into a silhouette useful for giat recognition](../assets/images/biometrics-explained/model-free-gait.webp) +
Yousef, R.N., Khalil, A.T., Samra, A.S. et al. Model-based and model-free deep features fusion for high performed human gait recognition. J Supercomput 79, 12815–12852 (2023). https://doi.org/10.1007/s11227-023-05156-9
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+ ### Accelerometer Accelerometers such as those found in your smartphone can also be used for gait recognition.