Basic Study of Object Recognition Based on Detection of Human Interaction

Abstract

In recognizing an object, humans are thought to rely on how that object is used; that is, on the interaction between a person and that object. This study develops a method that extracts interrelationships between people and objects (actions humans take on an object) as the object’s attribute characteristic and use that attribute information as a characteristic of object recognition. This paper proposes a method that represents the shape of an object and human movements – extracted with an RGB – D sensor–as attributes of the object.