##Action Recognition on KTH Dataset.
- We used the STIP Binaries found at [here] (https://www.di.ens.fr/~laptev/download.html#stip) , to extract the STIPs with the HOG-HOF descriptors.
- The descriptors extracted are then clustered -using k-means with 3000 cluster- in order to form a visual codebook with 3000 words.
- A Bag of words is then constructed for each example (video sequence) based on the occurrences of the codewords in the given example.
- The examples (3001-vector-BoW+Label) are then classified using Multi-Class non-Linear SVM.
<img src="/images/pipeline.png" width="400" height"200">
##Papers