DocumentCode :
1740877
Title :
Motion estimation using the spatio-temporal continuous wavelet transform: new results and alternative implementations
Author :
Mujica, Fernando A. ; Murenzi, Romain ; Smith, Mark J T ; Park, Sang
Volume :
2
fYear :
2000
fDate :
10-13 Sept. 2000
Firstpage :
550
Abstract :
The spatio-temporal continuous wavelet transform (CWT) has proven useful for motion estimation (Me) applications. We present tracking results that highlight the ability of the CWT approach to handle non-linear motion and time-varying object signatures (as those produced by 3D motion projected in the image plane). In addition, we present two low-complexity approaches that emulate the behavior of the CWT velocity selective filters. The first approach is based on infinity impulse response (IIR) approximations of the temporal response of the CWT filters. The second technique is based on directional decompositions and results in a novel 3D decomposition, the directional filter bank.
Keywords :
approximation theory; channel bank filters; filtering theory; image sequences; matched filters; motion estimation; multidimensional digital filters; tracking; wavelet transforms; 3D decomposition; 3D motion projection; CWT velocity selective filters; IIR approximations; directional decompositions; directional filter bank; image plane; image sequences; infinity impulse response approximations; low-complexity approaches; motion estimation; nonlinear motion; spatio-temporal continuous wavelet transform; temporal response; three-dimensional matched filter; time-varying object signatures; tracking results; Continuous wavelet transforms; Filtering; IIR filters; Image sequences; Matched filters; Motion estimation; Nonlinear filters; Tracking; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899484
Filename :
899484
Link To Document :
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