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 件のコメント
Anuj Kumar
2016 年 5 月 5 日
sir how did you find local contour sequence in matlab.Please share this code. Myemail id is anujmunger@gmail.com
NAVNEET NAYAN
2019 年 4 月 7 日
@ 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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Kenta
2020 年 3 月 29 日
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.
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その他の回答 (1 件)
Ilya
2012 年 11 月 29 日
Perhaps you could start by reading the User Guide for the Statistics Toolbox, where many tools for classification are collected:
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