DocumentCode
1742135
Title
Real time 3D depth flow generation and its application to track walking human beings
Author
Kagami, Satoshi ; Okada, Kei ; Inabe, M. ; Inoue, Hirochika
Author_Institution
Dept. of Mech. Eng., Tokyo Univ., Japan
Volume
4
fYear
2000
fDate
2000
Firstpage
197
Abstract
This paper proposes a 3D depth flow generation method which measures 3D motion vector of every pixels between two time sequential images. First, the definition of 3D depth flow and a simple method in order to generate the 3D depth flow are described. Then the implementation of a real time 3D depth flow generation system using only a PC is presented, and experimental results are given. Finally, as an application, a walking human tracking task using mobile robot is included
Keywords
correlation methods; image sequences; motion estimation; real-time systems; robot vision; target tracking; 3D depth flow generation; 3D motion vector; image sequences; mobile robot; real time systems; recursive correlation; robot vision; walking human tracking; Cameras; Fluid flow measurement; Humans; Image motion analysis; Legged locomotion; Mobile robots; Motion measurement; Pixel; Real time systems; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.902894
Filename
902894
Link To Document