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Human skeleton extraction from depth data by using machine learning or neural network.

asked 2017-08-08 16:41:17 -0600

vps gravatar image

updated 2017-08-15 04:14:31 -0600

Dear All,

Currently, I am working on human skeleton extraction with the help of machine learning or neural network in opencv with c++. I am using rgb as well as depth data. I am not using kinect camera in this case. As I am new in machine learning field. If anyone have idea about this , please let me know. It will be very useful , if you recommend any research paper and useful sites for this.

Thank you.

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Maybe a little bit outdated (CVPR 2011) but should be a good start: Real-Time Human Pose Recognition in Parts from Single Depth Images. Probably obsolete now with all the new deep learning approaches.

Eduardo gravatar imageEduardo ( 2017-08-09 08:03:05 -0600 )edit

Thank you for your response. Already read this research paper :) looking for latest approaches.

vps gravatar imagevps ( 2017-08-09 08:34:53 -0600 )edit

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answered 2017-08-15 07:32:13 -0600

Tetragramm gravatar image

Here is a link to the MPII Human Pose Database, which has a results page. The second best one has a link to a pre-trained model. I don't know if you can load it into the new DNN module, but it does work if you use their demo-code.

This doesn't use the depth data though. I'm not sure of a dataset that includes that as well.

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Thank you for your response. Really, it is a good source of information. Unfortunately, I have to use depth data. is it possible you to suggest on depth data?

Thank you.

vps gravatar imagevps ( 2017-08-15 07:56:31 -0600 )edit

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Asked: 2017-08-08 16:41:17 -0600

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Last updated: Aug 15 '17