Title :
A novel 3D human action reconstruction method
Author :
Zhang, Er-hu ; Zhao, Yong-wei
Author_Institution :
Dept. of Inf. Sci., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
This paper presents a simple yet effective 3D posture carving reconstruction method for human action recognition. The idea is inspired by the observation that human could carve a 3D object according to a few number of 2D images collected from multiple cameras. First, human action sequences are captured simultaneously by 3 web cameras. Then 3 normalized binary human silhouettes are obtained by a series of preprocessing steps. Finally, the 3D posture in the virtual coordinate is reconstructed according to 2D silhouettes of 3 different views. Experimental results show the effectiveness of the proposed approach.
Keywords :
image motion analysis; image reconstruction; 3D human action reconstruction method; 3D object; 3D posture carving reconstruction method; human action sequences; web cameras; Cameras; Computational modeling; Humans; Image reconstruction; Reconstruction algorithms; Solid modeling; Three dimensional displays; 3D reconstruction; Human action; Multi-cameras estimation;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016963
