Distinctive action sketch

Recent developments in the field of image and video processing have led to a renewed interest in sketch correlated research. With that, there have emerged considerable solid evidence which revealed the significance of sketch to us. However, there have been few profound discussions on sketch based action analysis so far. In this paper, we present a framework of converting human actions to commendable sketches and discovering distinctive action sketches. The action sketches should satisfy three characteristics: sketchability, objective-ness and consistency. Primitive sketches are prepared according to the structured forests based fast edge detection. Meanwhile, we take advantage of Struck to accomplish adaptive object tracking in parallel. After that, we propose a method to ensure the spatio-temporal consistency between every sequential action sketches. On completion of previous stages, the process of distinctive mining of action sketches is carried out. The experimental results show that our approach has a promising potential.