I have a datasets which is comprised of skeleton XML files and RGB videos, I want to apply classification, my question is how we can use both data features as whole input?
I have seen papers based on RGB+Depth data.
Please direct me.
Thanks
Is the term you used "skelton" equivalent to "topological skeleton"? If it is and you want to create a classification you will have to move into volumetric color space. For this use a color cube or a color cone and identify a subset volume of color you want to associate. Within your subset color volume, have it tied to your XML topological skeleton to extract your classification. (US color = colour)
see this link
https://pyimagesearch.com/2019/07/15/video-classification-with-keras-and-deep-learning/
https://www.analyticsvidhya.com/blog/2019/09/step-by-step-deep-learning-tutorial-video-classification-python/
Reuben Reyes Thank you so much for your answer, I want to pass both information skeleton coordinates and RGB features.
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