University of Amsterdam at THUMOS Challenge 2014
Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek · UvA-DARE (University of Amsterdam) · 2014
This notebook paper describes our approach for the action classification task of the THUMOS Challenge 2014. We investigate and exploit the action-object relationship by capturing both motion and related objects. As local descriptors we use HOG, HOF and MBH computed along the improved dense trajectories. For video encoding we rely on Fisher vector. In addition, we employ deep net features learned from object attributes to capture action context. All actions are classified with a one-versus-rest linear SVM.