DocumentCode
2515491
Title
Action Recognition Using Space-Time Shape Difference Images
Author
Qu, Hao ; Wang, Liang ; Leckie, Christopher
Author_Institution
Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
3661
Lastpage
3664
Abstract
A common approach to human action recognition is to use 2-D silhouettes in the space-time volume as a basis for further extraction of useful features. In this paper, we present a novel motion representation based on difference images. We show that this representation exploits the dynamics of motion, and show its effectiveness in action recognition. Moreover, experimental results demonstrate that this method is highly accurate and is not sensitive to the resolution of the video.
Keywords
feature extraction; image motion analysis; image resolution; shape recognition; 2D silhouettes; feature extraction; human action recognition; motion dynamics; motion representation; space-time shape difference images; space-time volume; video resolution; Accuracy; Clustering algorithms; Feature extraction; Histograms; Humans; Shape; Training; feature extraction; human action recognition; space-time differences;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.893
Filename
5597837
Link To Document