Camera Motion Detection for Conversation Scenes in Movies

Abstract

In this paper, camera movements including zoom, pan and tilt could be efficiently detected for conversation scenes in movies using an improved feature point matching method. RANSAC algorithm is applied to reduce the error rate of feature matching. This implementation possesses notable significance for conversation scenes' editing and analysis. Besides, it is an essential fundamental step for constructing a visual attention model.