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I am working on the human following robot. the robot extracts a feature of clothes's texture and distinguishes between the people that they stand up in front of the robot. So, the robot needs that it will be robust and fast.

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    $\begingroup$ This is a very broad question. It sounds like you're asking an awful lot here. The first step would be to define what you mean by "detecting the texture"; what kind of output you'd want. The next step would be to acquire a labelled dataset. The next step would be to try something and see how well it works. This kind of work tends to require a lot of experimentation and trial and error. I'm not sure that this kind of question, where you want someone to tell you how to approach an entire project, is a good fit here -- I'm not sure there will be any short answer. $\endgroup$ – D.W. Mar 25 '20 at 19:05
  • $\begingroup$ Thanks, D.W., all I need name of the best algorithm so that fast and robust in real-time. I have experience in how to label and so on. $\endgroup$ – Redhwan Mar 25 '20 at 23:21

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