Robust human body model acquisition from images in the presence or occlusion

Abstract

Automated detection of postures and actions of humans from image/video data is \ aluablc for many applications. Some examples are automated surveillance. effective Human- Computer Interaction and Entertainment such as computer games. An essential step ill performing this task is to detect the presence of a human in a scene and acquire parameters of a predefined body model. Most of the existing research uses multiple cameras to obtain a full view of the human body for modelling. Where monocular images are used. using markers for identifying different parts or joints of the body is common. In most svsterns based on monocular images. it is assumed that the human body is occluded onlv b~ itself Marker-less automated human body model acquisition using monocular video in the presence of occlusion is still a challenging task.