2A1-E05 身体部位間の関係性を考慮した運動特徴によるブースティングに基づく高速オンライン動作認識法

Abstract

In this paper, we propose a rapid and robust online action recognition method. The main features of the proposed method are: 1) to select important motion features for action recognition, 2) to require very small calculation cost for recognition compared to conventional methods, 3) to exploit "Combinational Motion Features" which we propose as a new conception. We evaluated the proposed method to gate action recognition, such as walking and running, by utilizing motion capture data. In the result, the proposed method reduced parameters given by human to action recognizer and lessend human's task. In addition, the proposed method needed very small calculation cost for recognition while was capable of recognizing robustly as much as conventional action recognition method based on support vector machine. Moreover, the introduction of combinational motion features enhanced recognition performance.