NII, Japan at the first THUMOS Workshop 2013
Sang Phan · 2013
We submit the results of our system to the THUMOS’13 Challenge on Recognition Task. We apply a multi-modal approach to recognize actions on UCF101 dataset. These features include Dense Trajectories (motion features), SIFT (image features) and MFCC (audio features). Moreover, we also use the Fisher vector encoding, which is a state-of-theart feature representation on popular image classification and action recognition datasets. 1. Classification Framework