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Classification with machine learning and a small database

I want to create a valve detection and classification like this video : https://www.youtube.com/watch?v=VY92fqmSdfA To detect the positions Open and close and intermediate.

I have done some research and I have found some methods to resolve this problem, but i have some conditions to respect to resolve this problem :

Condition 1 : Use machine learning in the application, I can't use simple methods like Template matching,...

Condition 2 : Use a small database (Minimum 10 images by classe, maximum 40 images by classe)

Condition 3 : detect the position of the valve if the camera position changes, so I can't use only colors to detect the valve handle.

I want to use HOG (Histogram oriented gradient) + SVM/ANN but HOG needs a lot of images to train SVM/ANN.

I dont know if I can resolve this problem respecting this conditions?

Classification with machine learning and a small database

Hello,

I want to create a valve detection and classification like this video : https://www.youtube.com/watch?v=VY92fqmSdfA To detect the positions Open and close and intermediate.

I have done some research and I have found some methods to resolve this problem, but i have some conditions to respect to resolve this problem :

Condition 1 : Use machine learning in the application, I can't use simple methods like Template matching,...

Condition 2 : Use a small database (Minimum 10 images by classe, maximum 40 images by classe)

Condition 3 : detect the position of the valve if the camera position changes, so I can't use only colors to detect the valve handle.

I want to use HOG (Histogram oriented gradient) + SVM/ANN but HOG needs a lot of images to train SVM/ANN.

I dont know if I can resolve this problem respecting this conditions?

And thank you

Classification with machine learning and a small database

Hello,

I want to create a valve detection and classification like this video : https://www.youtube.com/watch?v=VY92fqmSdfA To detect the positions Open and close and intermediate.

I have done some research and I have found some methods to resolve this problem, but i have some conditions to respect to resolve this problem :

Condition 1 : : Use machine learning in the application, I can't use simple methods like Template matching,...

Condition 2 : : Use a small database (Minimum 10 images by classe, maximum 40 images by classe)

Condition 3 : : detect the position of the valve if the camera position changes, so I can't use only colors to detect the valve handle.

I want to use HOG (Histogram oriented gradient) + SVM/ANN but HOG needs a lot of images to train SVM/ANN.

I dont know if I can resolve this problem respecting this conditions?

And thank you

Classification with machine learning and a small database

Hello,

I want to create a valve detection and classification like this video : https://www.youtube.com/watch?v=VY92fqmSdfA To detect the positions ~~Open and close and intermediate.~~Open and close and intermediate.

I have done some research and I have found some methods to resolve this problem, but i have some conditions to respect to resolve this problem :

Condition 1 : Use machine learning in the application, I can't use simple methods like Template matching,...

Condition 2 : Use a small database (Minimum 10 images by classe, maximum 40 images by classe)

Condition 3 : detect the position of the valve if the camera position changes, so I can't use only colors to detect the valve handle.

I want to use HOG (Histogram oriented gradient) + SVM/ANN but HOG needs a lot of images to train SVM/ANN.

I dont know if I can resolve this problem respecting this conditions?

And thank you