loading...
Space-Time Invariants and Video Motion Extraction from Arbitrary Viewpoints
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104739916th International Conference on Patt ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Makoto Mizoguchi, Jun Sato, "Space-Time Invariants and Video Motion Extraction from Arbitrary Viewpoints," Pattern Recognition, International Conference on, vol. 4, pp. 40056, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 4, 2002.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2002.1047399,
author = {Makoto Mizoguchi and Jun Sato},
title = {Space-Time Invariants and Video Motion Extraction from Arbitrary Viewpoints},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2002},
issn = {1051-4651},
pages = {40056},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047399},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Space-Time Invariants and Video Motion Extraction from Arbitrary Viewpoints
SN - 1051-4651
SP
EP
A1 - Makoto Mizoguchi,
A1 - Jun Sato,
PY - 2002
KW - space-time invariants
KW - motion recognition
KW - video indexing
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Makoto Mizoguchi, Nagoya Institute of Technology
Jun Sato, Nagoya Institute of Technology
The recognition of motions is very important for understanding dynamic actions and extracting events from video sequences. In this paper, we propose invariants on object motions, which can be extracted from image sequences, and are invariant even if the motions are viewed from arbitrary viewpoints. We call them space-time invariants since they are defined under space-time projections. We show that these invariants are very useful for extracting specific motions from video sequences. The proposed space-time invariants are implemented and tested on real image sequences.
Index Terms:
space-time invariants, motion recognition, video indexing
Citation:
Makoto Mizoguchi, Jun Sato, "Space-Time Invariants and Video Motion Extraction from Arbitrary Viewpoints," icpr, vol. 4, pp.40056, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 4, 2002
Usage of this product signifies your acceptance of the Terms of Use.