Two dimensional human head and torso pose modelling using windowing techniques

Abstract

Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique, the size of the head and torso are manually computed and then the position of the targeted parts is determined. The second technique, namely Windowing technique II, estimates the head followed by the torso of the human. The size and the position of the targeted parts are determined automatically with the implementation of distant transform and several assumptions on human body size and position. The windowing techniques only requires silhouette image as input image. In experimentation, the size and the position of each body part are evaluated from 100 images in indoor environment. From the overall results, the Windowing technique II performs better in terms of correct size and position estimation.