Back to Search Start Over

Hybrid Silhouette Extraction Method for Detecting and Tracking the Human Motion.

Authors :
Jiao, Licheng
Wang, Lipo
Gao, Xinbo
Liu, Jing
Wu, Feng
Kim, Moon Hwan
Park, Jin Bae
Ra, In Ho
Joo, Young Hoon
Source :
Advances in Natural Computation (9783540459071); 2006, p687-695, 9p
Publication Year :
2006

Abstract

Human motion analysis is an important research subject in human-robot interaction (HRI). However, before analyzing the human motion, silhouette of human body should be extracted from sequential images obtained by CCD camera. The intelligent robot system requires more robust silhouette extraction method because it has internal vibration and low resolution. In this paper, we discuss the hybrid silhouette extraction method for detecting and tracking the human motion. The proposed method is to combine and optimize the temporal and spatial gradient information. Also, we propose some compensation methods so as not to miss silhouette information due to poor images. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540459071
Database :
Complementary Index
Journal :
Advances in Natural Computation (9783540459071)
Publication Type :
Book
Accession number :
32862125
Full Text :
https://doi.org/10.1007/11881223_86