DocumentCode :
72835
Title :
Motion Analysis Using 3D High-Resolution Frequency Analysis
Author :
Ueda, Toshitsugu ; Fujii, Kenichi ; Hirobayashi, S. ; Yoshizawa, T. ; Misawa, Tetsuya
Author_Institution :
Dept. of Intellectual Inf. Syst. Eng., Univ. of Toyama, Toyama, Japan
Volume :
22
Issue :
8
fYear :
2013
fDate :
Aug. 2013
Firstpage :
2946
Lastpage :
2959
Abstract :
The spatiotemporal spectra of a video that contains a moving object form a plane in the 3D frequency domain. This plane, which is described as the theoretical motion plane, reflects the velocity of the moving objects, which is calculated from the slope. However, if the resolution of the frequency analysis method is not high enough to obtain actual spectra from the object signal, the spatiotemporal spectra disperse away from the theoretical motion plane. In this paper, we propose a high-resolution frequency analysis method, described as 3D nonharmonic analysis (NHA), which is only weakly influenced by the analysis window. In addition, we estimate the motion vectors of objects in a video using the plane-clustering method, in conjunction with the least-squares method, for 3D NHA spatiotemporal spectra. We experimentally verify the accuracy of the 3D NHA and its usefulness for a sequence containing complex motions, such as cross-over motion, through comparison with 3D fast Fourier transform. The experimental results show that increasing the frequency resolution contributes to high-accuracy estimation of a motion plane.
Keywords :
image motion analysis; image resolution; least squares approximations; pattern clustering; video signal processing; 3D frequency domain; 3D high resolution frequency analysis; NHA; analysis window; frequency analysis method; least-squares method; motion analysis; nonharmonic analysis; object signal; plane clustering method; spatiotemporal spectra; theoretical motion plane; video spatiotemporal spectra; Accuracy; Frequency domain analysis; Frequency estimation; Image restoration; Signal resolution; Spatiotemporal phenomena; Standards; Clustering methods; image motion analysis; least squares methods; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Motion; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2012.2228490
Filename :
6357278
Link To Document :
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