8-10 Classification of Ego-Actions based on Salient Object Detection

Abstract

In this paper, we propose a classification method of human actions from first-person videos. Our proposed method detects visually salient objects and integrates saliency value and object likelihood into feature vectors. The experimental result shows that the proposed method can classify first-person actions more accurate than a previous method by 6.4 percentage points.