hand gesture data classification and recognize gesture from image

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Hi everybody, i have a problem with my hand gesture recognition and i really need help. My system overview:
  • Detect hand from an image
  • Taking edge of the hand by Canny edge detection.
  • Feature extraction using Local contour sequence (LCS)
  • Classification.
I completed the 3rd step and got feature extraction from data sample images and put them into vectors. How do i use my data to train for my system and start recognize input image? I saw that somebody use LINEAR CLASSIFIER technique to recognize gesture, somebody use MULTI CLASS SUPPORT VECTOR MACHINE, but i don't know how to apply those techniques to train my system and recognize my gesture. Can anybody help me please?
  7 Comments
Anuj Kumar
Anuj Kumar on 5 May 2016
sir how did you find local contour sequence in matlab.Please share this code. Myemail id is anujmunger@gmail.com
NAVNEET NAYAN
NAVNEET NAYAN on 7 Apr 2019
@ Image Analyst...When I am clicking the Viison Bib I am not geeting the path of section 21.4. Can you please tell me how to reach that section.

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Accepted Answer

Kenta
Kenta on 29 Mar 2020
In this case, one solution is a use of CNN and LSTM for video (gesture) classification.
Although you might focus on classfication with a still image this time, a classification with a series of frames would be more powerful.
You may check the example below.

More Answers (1)

Ilya
Ilya on 29 Nov 2012
Perhaps you could start by reading the User Guide for the Statistics Toolbox, where many tools for classification are collected:
  1 Comment
nguyen
nguyen on 29 Nov 2012
i found that svmtrain function can train my system to recognize gesture. Suppose that i have 3 vectors: [1 0 1 1 1] [0 1 0 1 1] [1 0 0 1 1] these 3 vectors are results i collected after feature extraction, both of them represent for image 'A'. Can you tell me how to use svmtrain to train the system and which function do we use to input a new image and recognize it?

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