Shape feature encoding via Fisher Vector for efficient fall detection in depth-videos

- FV can be considered as a generalization of the BoW. In other words, BoW is a particular case of the FV. The additional gradients improve the FV's performance greatly.
- Smaller codebooks can be used to construct the FV, which yields lower computational cost.
- FV performs well even with simple linear classifiers.