Today we finally got the first results that are comparable to the ones from Ivan Laptev's paper. Interestingly enough, our results seem significantly better. This should not be the case, as we followed the same path Laptev used in his paper with the same dataset and same values for the different algorithms involved.
Obviously somewhere along the way, something must be different. Ivo and I will have to find out how this is possible and at least come up with a logical explanation.
The next step for me will be creating code for splitting up the dataset into smaller time frames. It will then be possible to see if the trained classifier will also be able to find the correct actions in smaller time frames. This is useful for finding the actual position of the action in a movie (not just simply indicating wether an action occurs in a given movie).