Question

If I have a video dataset of a specific action , how could I use them to train a classifier that could be used later to classify this action.

Answer 1

The question is very generic. In general, there is no foul proof way of training a classifier that will work for everything. It highly depends on the data you are working with.

Here is the ‘generic’ pipeline:

• extract features from the video
• label your features (positive for the action you are looking for; negative otherwise)
• split your data into 2 (or 3) sets. One for training, one for testing and the other optionally for validation
• train a classifier on the labeled examples (e.g. SVM, Neural Network, Nearest Neighbor …)
• validate the results on the validation data, if that is appropriate for the algorithm
• test on data you haven’t used for training.

You can start with some machine learning tools here http://www.cs.waikato.ac.nz/ml/weka/

Make sure you never touch the test data for any other purposes than testing

Good luck